Contributors per cycle
Accepted projects each year, against the median organization that year
View as table
| TensorFlow | Median organization | |
|---|---|---|
| 2016 | 0 | 4 |
| 2017 | 0 | 4 |
| 2018 | 0 | 3 |
| 2019 | 19 | 4 |
| 2020 | 17 | 4 |
| 2021 | 17 | 4 |
| 2022 | 22 | 3 |
| 2023 | 6 | 4 |
| 2024 | 0 | 4 |
| 2025 | 0 | 5 |
| 2026 | 0 | 4 |
Last took part in 2023
TensorFlow
TensorFlow is a ML framework for everyone.
Contributors in 2026
–
Not taking part
Projects since 2016
81
16.2 a cycle on average
Cycles
5 of 11
First in 2019
Rank in 2026
–
By contributors
Mentors
5
for 6 projects in 2023
Stack and topics
Each one has its own page of organizations and trends
Technologies
# Topics
Quick answers
- Is TensorFlow in GSoC 2026?
- No. It last took part in 2023.
- How long has it taken part?
- 5 of 11 cycles since 2016, first in 2019.
- How many contributors does it usually take?
- 16.2 a cycle on average, 81 in total. Its largest cycle was 2022, with 22.
- What does it build with?
- Python, C, C++, Machine learning, Data Analysis, Deep Learning and 6 more.
Accepted projects
6 projects in 2023 · All 81 projects since 2016
KerasCV: Creating Tutorials
Ambra JinMentored by Shilpa Kancharla
The existing Keras Database [1] presently features just four functional tutorials for 3D datasets, the latest of which dates back to the summer of...
Enhance Tokenizers and Implement end-to-end Token Classification Tasks
Mishra, AnshumanMentored by Matthew Watson, Chen Qian
The objective of this project is to implement Token Classification tasks for the KerasNLP library. The focus will be on enhancing the tokenizers API...
MediaPipe Flutter Plugin
Mohammad EidMentored by Paul Ruiz
The project aims to make a MediaPipe plugin for Flutter. The basic idea is to make an API for Flutter developers to use MediaPipe platform-specific...
Interactive Web Demos using the MediaPipe Machine Learning Library
Pratyay BanerjeeMentored by Jen Person
The COVID-19 pandemic has increased awareness of hygiene risks associated with touchscreens, with reports indicating that 80% of people find them...
Create a text summarization model by fine-tuning a pre-trained model with a custom dataset
Seungjun LeeMentored by Shilpa Kancharla
This project aims to create a high-quality custom dataset using PaLM API and create a high-quality text summarization model by fine-tuning a...
Flutter Plugin for MediaPipe Machine Learning Library
Yassin HashemMentored by Paul Ruiz
This project outlines the development of a Flutter plugin for MediaPipe, with a focus on a feature-first approach. The plan includes implementing the...
Develop demos for TensorFlow Lite Micro
VishwaMentored by Paul Ruiz
In this project, I'll be building demos for TensorFlow Lite Micro, to be used in conferences and Machine Learning Courses. My plan is to build these...
Tensorflow/JAX project — "JAX ML Textbook"
XinglongMentored by Kevin Murphy
The aim of this project is to implement various advanced machine learning algorithms for the upcoming textbook "Probabilistic Machine Learning:...
ArcFace Loss Implementation for Tensorflow Similarity
Aylin AydınMentored by Yusuf Sarıgöz
Metric learning is a collection of machine learning approaches for learning to assess similarities and differences between data points from various...
Kaggle examples for TensorFlow Decision Forests
Rishiraj AcharyaMentored by Josh Gordon
Today libraries like XGBoost and LightGBM dominate most Kaggle competitions on tabular data and achieve state-of-the-art results on a variety of...
Expanding the JAX SSM Library & Exploring Particle-Based Variational Inference (JAX ML Textbook)
Peter G. ChangMentored by Kevin Murphy
For this project, I plan to explore state space models(SSM) and variational inference(VI) in depth. First, I will translate legacy numpy/PyTorch...
Develop new models and examples for TensorFlow-Hub
Mohammad ShoaibMentored by Gustavo
I am proposing to publish 4 Collections of models to TF-Hub containing a total of 23 models. Collections will be published from the following models-...
Deep Care
Mayuresh AgasheMentored by Josh Gordon
With more than 1 million new diagnoses reported every year, prostate cancer (PCa) is the second most common cancer among males worldwide that results...
Addition of new losses to tensorflow similarity
AbhisharMentored by Yusuf Sarıgöz
I propose to add new loss functions which make improvements over the existing ones for metric learning. I also propose to improve documentation and...
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Develop JAX examples and demos for an ML upcoming textbook
Zeel B PatelMentored by Kevin Murphy
I propose to address the existing challenges with the current codebase of the book and then contribute new code for several figures for the upcoming...
JAX ML Textbook
Giles Harper-DonnellyMentored by Kevin Murphy
The project will be making contributions to the PyProbML repo helping to build demonstrations and reference implementations for probabilistic machine...
Contribute to KerasCV and KerasNLP
Aditya KaneMentored by Sayak Paul, Luke Wood
This project aims to add several functionalities to Keras-CV which will be of use to beginner as well as seasoned practitioners. I will be...
Publish fine-tuned MobileViT in TensorFlow Hub
Sayan NathMentored by Gustavo
Publish fine-tuned MobileViT in TensorFlow Hub TensorFlow Hub is the main TensorFlow model repository with thousands of pre-trained models with...
Tutorials for Object Detection Models
steinMentored by Gustavo
This proposal aims to provide Tensorflow with more object detection models and tutorial examples. The plan consists of adding...
JAX ML TEXTBOOK
KARM PATELMentored by Kevin Murphy
I will potentially work towards the following problems during the GSoC: 1) I am excited to implement advanced algorithms in JAX and create/re-produce...
[KerasNLP] Adding Metrics, Decoding Strategies, Model Encoder Blocks and Data Augmentation APIs
Abheesht SharmaMentored by Luke Wood
KerasNLP is a library for building NLP building blocks such as model layers, metrics, tokenizers, text processing/augmentation techniques, etc. I...
Implementation of State-of-the-Art Components in Object Detection for KerasCV
Sarvagya MalaviyaMentored by Luke Wood
Previous iterations of GSoC combined with recent community contributions have helped TensorFlow catch up with the SOTA in image classification....
Adding Native Support for Text Data Augmentation in KerasNLP alongside Tutorials
AflahMentored by Luke Wood
Data Scarcity is a Huge and Evergrowing Problem as new tasks and problems are tackled. Sometimes collecting substantial amount of data is almost...
Profiling and Optimising Energy Consumption for TF Lite Models.
Rishiraj AdhikaryMentored by Josh Gordon
There is a spurt of pretrained edge machine learning models that can be quickly deployed in microcontrollers, thanks to TensorFlow Lite. Reducing RAM...
Develop Kaggle examples for TensorFlow Decision Forests
VanshMentored by miriamraskasky
TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving, and interpretation of Decision Forest...
Develop NLP examples using HuggingFace Transformers
Sreyan GhoshMentored by Vasudev Gupta
In this project, I propose to create NLP examples using transformer implementations from the Hugging Face Library; by developing easy-to-use and...
Developing demos for TensorFlow Lite Micro
Ayyuce DemirbasMentored by Paul Ruiz
This project aims to develop machine learning projects for microcontrollers. This project is a little bit challenging because it is hard to make...
Harsh Shah - Develop healthcare examples using Keras
Harsh ShahMentored by Josh Gordon
The aim of this project is to create healthcare examples using Keras. I plan to implement new tutorials for: 1. Diabetic Retinopathy detection using...
TensorFlow Lite Flutter Support Suite Enhancements
Amish GargMentored by Lu Wang
In GSoC 2020, The TFLite team and I released the TensorFlow Lite Support Suite consisting of TFLite Flutter Plugin, TFLite Flutter Helper Library,...
TensorFlow2 Model Garden document site and YOLO project tutorial
Yifan WangMentored by jaeyounkim, Morgan Roff, Sayak Paul +1
I listed three potential projects, the main directions are implement MLCV research papers with GPU CUDA accelerating and distributing API, and code...
TensorFlow Proposal for the Convert Matlab ML examples to Python / JAX project
Gerardo Duran-MartinMentored by Kevin Murphy, Mahmoud Soliman
In this proposal, I layout my strengths in machine learning, open source code and TensorFlow, and argue why I am the best candidate to work with the...
Implement Wave2Vec2 in TensorFlow 2 & publish it in TensorFlow Hub
Vasudev GuptaMentored by jaeyounkim, Morgan Roff, Sayak Paul
I am proposing to implement Wave2Vec2 in TensorFlow 2. I will be converting the pre-trained checkpoint in TensorFlow compatible format and will...
Convert Matlab ML examples to Python / JAX
Ming Liang AngMentored by Kevin Murphy, Mahmoud Soliman
Translate the Matlab examples listed in the pyprobml to Python, using JAX and test the examples to make sure they work with the existing Colab...
Converting ML Matlab Examples to Python using JAX
Srikar Reddy JiluguMentored by Kevin Murphy, Mahmoud Soliman
JAX as the latest machine learning library has all the advanced gradient techniques aided by acceleration of GPU/TPU and high-level modules for...
TensorFlow Implementation of Distribution Aware Coordinate Representation for Human Pose Estimation
Chandykunju AlexMentored by jaeyounkim, Morgan Roff, Sayak Paul +1
Implement Distribution-Aware Coordinate Representation for Human Pose Estimation(DARK Pose) using TensorFlow library . The main goal of this project...
ViT (Vision Transformer)
sgeislerMentored by jaeyounkim, Morgan Roff, Sayak Paul
Transformers are getting more and more attention in tasks outside of Natural Language Processing (NLP) and should be considered a general sequence to...
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Suggest, implement and publish state-of-the-art ML models in TensorFlow 2
Mehdi MabroukiMentored by jaeyounkim, Morgan Roff, Sayak Paul
TensorFlow Model Garden and TF Hub provide a lot of state-of-the-art models for TF developers to use easily in their research and product...
Generate New Task Library in TensorFlow Lite for Pose Landmark Detection
Milind ThakurMentored by George Soloupis, Lu Wang
TensorFlow Lite Task Library contains easy-to-use task-specific libraries that allow developers to easily build Android/iOS apps using TensorFlow...
TensorFlow Lite examples for Natural Language Processing
Sunit RoyMentored by Meghna Natraj
TensorFlow Lite Task Library examples for Natural Language Processing is a project, where we have to recreate existing NLP examples in Android & IOS...
Adding Panoptic Segmentation to the TensorFlow Model Garden
Srihari HumbarwadiMentored by jaeyounkim, Morgan Roff, Abdullah Rashwan +2
Panoptic Segmentation aims to further the process of understanding an image by classifying all the pixels in it while also assigning them to unique...
💻 GSoC 2021: Improve Computer Vision Sample Apps of TensorFlow Lite
Sayan NathMentored by George Soloupis, Margaret Maynard-Reid
The idea behind the project is to improve the sample apps of Computer Vision which uses TensorFlow Lite Task Library as well as TensorFlow Support...
Improving TensorFlow GAN Library
Nived P AMentored by Margaret Maynard-Reid
Tensorflow GAN is a lightweight library that is used for training and evaluating GAN models. Through this project different variants of GAN models...
Tensorflow Proposal
Aleyna KaraMentored by Kevin Murphy, Mahmoud Soliman
As everyone knows, TensorFlow is the best open source platform for Deep Learning. Instead of focusing on basics like alternatives which lag behind...
Tree-based models
Dinko FranceschiMentored by Josh Gordon, Test mentor
For this project, I would like to work with new models for random forests and gradient boosted trees. It would be interesting to then use this on a...
Implement RegNet-Y in TensorFlow 2
Aditya KaneMentored by jaeyounkim, Morgan Roff, Sayak Paul
TensorFlow Hub and Model Garden are the go-to resources for ML practitioners for quick and easy experimentation. This project aims to implement...
Flax HOWTOs
Roland GavrilescuMentored by Avital Oliver, Mandar Deshpande
Flax is a high-performance neural network library for JAX designed for flexibility. In order to allow users get started easily, Flax provides a...
GCS, S3 and Hadoop support for Tensorflow
Vo Van NghiaMentored by Mihai Maruseac
Currently, there are no supports for S3 and GCS on Windows. It leads to two problems: The limitation of storage capacity and inconvenient of...
TensorFlow Hub New Models and Demos Application
Dejia XuMentored by Mandar Deshpande
I will implement DeepFillv2 and add detailed Colab demos for it. The model will be "fine-tunable" to support the “reusable” characteristic of...
State of the Art TensorFlow 2.x Models
Vishal VMentored by Jaeyoun Kim
State-of-the-art Deep Learning models for the TensorFlow Model Garden implemented from the most recent research papers and trained on the datasets...
Improving TensorFlow Datasets Library
Vijay TadikamallaMentored by Etienne POT, Marcin Michalski
Everyone wants to focus on improving their model performance, but a significant portion of their time is used up while searching for a proper dataset...
Incorporating point-based convolutions in Tensorflow Graphics
HedronMentored by Paige Bailey
Point-based learning techniques have shown great potential in standard Computer Vision tasks such as 3D scan segmentation or 3D object...
Implement Mesh R-CNN in TensorFlow Graphics
Robin BaumannMentored by Paige Bailey
The Mesh-RCNN technique was recently introduced to estimate 3D models from natural 2D images. It uses a combination of an object detection module...
New Tools for TensorFlow Hub
Jin DongMentored by Paige Bailey, Jaeyoun Kim
This project aims at implementing new tools to support the transfer learning pipelines, ranging from object detection to embedding-based similarity...
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Help migrate a TensorFlow library to TensorFlow 2.x
Yiming ShiMentored by Paige Bailey, Jaeyoun Kim
My interest lies in software engineering (especially debugging) and machine learning applications. I am very interested in the project Help migrate a...
Let's not Go Off Tangent - Add Efficient Tangent batching to ForwardAccumulator
Abhineet ChoudharyMentored by Allen Lavoie
Current native support for forward-mode differentiation calls backward on a function twice. But executing this as a tf.function prevents retracing...
Reinforcement Learning to S4TF
seungjaeryanleeMentored by Brad Larson, Dan Zheng
Reinforcement learning is a class of machine learning methods that uses the reward signal of the environment to infer optimal actions. Reinforcement...
SOTA ML Paper/Model Implementations
Zhibo ZhangMentored by Dan Moldovan
Neural Tangents (Infinite-width NNs) migration and reconstruction for TensorFlow 2.x, originally based on JAX...
A fast, cross-platform image loader in Swift
AyushiMentored by Saleem Abdulrasool, Ayush Agrawal (Ayush517)
Apps and web pages often contain a lot of images and at times they are remote and contribute highly to data usage, so they require a loader to delay...
Implementing “implicit 3D representations” in TensorFlow Graphics
Daisuke KasugaMentored by Paige Bailey
In recent years, “implicit 3D representations” have been attracting attention as an appropriate 3D expression for deep neural networks. At CVPR 2019,...
Implement TF 2.x Model Garden Examples
YasaswiMentored by Jaeyoun Kim
The main objective of this project will be to implement various neural network models and to improve the documentation for the TensorFlow User...
TensorFlow Lite Flutter Support Suite
Amish GargMentored by Paige Bailey
TensorFlow Lite Flutter Support Suite is a cluster of three projects TfLite Flutter Plugin, TfLite Flutter Helper library, Flutter example ML app...
Keras RFC Implementation - ImagePipeline based on tf.data API
SwarupMentored by Paige Bailey, Zhenyu Tan
tf.data.Dataset is the defacto way of loading and preprocessing data in TensorFlow for training machine learning models on CPUs, GPUs and TPUs. There...
TensorFlow js Exploration
Paul SpendeMentored by Paige Bailey
This project will convert some pre-trained Keras models into TensorFlow js models and explains how they can be made accessible by packing them in npm...
Creating Neuroevolution Framework for Tensorflow 2.0, preimplementing 'Neuroevolution of Augmenting Topologies' (NEAT)
Paul PaulsMentored by Rezsa Farahani
Implementing a framework for Neuroevolution in Tensorflow 2.0, providing a variety of preimplemented Neuroevolution algorithms, genomes and...
An Extended Version of “A Concise Handbook of TensorFlow” And A Library of Extended Keras Layers for TF 2.0
snowkylinMentored by Tiezhen WANG
Usability and 3rd cutting-edge models are two main factors that are especially concerned by academic area. This project concentrate on enhancing both...
Adding traditional Machine Learning algorithms to Swift for Tensorflow
Victor AntonyMentored by Dan Zheng, Richard Wei
This project aims to add traditional machine learning algorithms to the Tensorflow for Swift library. We aim to implement Logistic Regression,...
Adding and standardizing image processing operations in tf.image
whiteratMentored by Frank Chen, perfinion, Sean Morgan +1
Project aims at updating existing functions to make them compatible with Tensorflow 2.0 and adding new image processing operations to make the...
Debugging Model Performance in TensorBoard Guide
Bruna PinosMentored by Paige Bailey, Alex Passos
TensorBoard is a TensorFlow tool for models visualization. It can generate histograms, graph and help debug and improve the neural network. To help...
TensorFlow Hub Module Creation and Support for TensorFlow.js
Adrish DeyMentored by Vojtech Bardiovsky, Sachin Joglekar
Training of High end Deep Learning Models takes a Long time to Train, Hours, Days and Even Weeks. So, as a Developer/researchers it slows down the...
TensorFlow Datasets - Implement new features in TFDS for users and developers
Recep Ahmet SARITEKINMentored by Etienne POT, Marcin Michalski
Main goal of this project is extending available datasets, offering some additional features to Tensorflow Datasets that can make TensorFlow users'...
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Add traditional machine learning algorithms to the Swift TensorFlow library
Param BhavsarMentored by Dan Zheng, Richard Wei
This document describes the proposal to "add traditional Machine Learning algorithms to the Swift TensorFlow library", for "TensorFlow" organization....
TensorFlow.js with WebWorker
Wenhe LiMentored by Paige Bailey
The TensorFlow.js will be highly computational consuming while we are doing prediction or classification. And if such a computation happens at the UI...
JSON Dataset Reader - TensorFlow I/O
Jiacheng XuMentored by Yong Tang, Yuan Tang, Frank Chen
TensorFlow is one of the most popular machine learning frameworks and is widely used in fields beyond machine learning and data science. The...
End-to-End Mobile Swift for Tensorflow Application
Ayush AgrawalMentored by Brad Larson, perfinion, Richard Wei
Deploying a machine learning module using Swift for Tensorflow it to a mobile device, including building out necessary components of the Swift for...
Core Model Migration to TF 2.0
Vishal VMentored by Tomer Kaftan, Amit Sabne, Vikram Tiwari +1
Re-building the official Tensorflow models to make it TF 2.0 compatible. This project proposes holistic improvements to the models repository to...
Improving and adding more functionality to the TensorFlow-Datasets library with the addition of DatasetBuilders for important research datasets.
Chanchal Kumar MajiMentored by Vikram Tiwari, Marcin Michalski
Tensorflow Datasets or tfds makes the work of the user easier by transforming the raw dataset into a standard format so that it can be immediately...
Reasonable Effectiveness of Mobile Inference: Adaptive Growth of the TensorFlow.js Model Garden
Sasha IllarionovMentored by Manraj Singh
The project aims to grow the TensorFlow.js model garden with five new low-latency, low-power, high-accuracy applications controlled via an...
Adding Curiosity to TF-Agents
Ryan LeeMentored by Oscar Ramirez, Mandar Deshpande
Reinforcement learning is a class of machine learning methods that use the reward signal of the environment to infer optimal actions. Thus, easy...
Data Visualization library for Swift
Karthik Ramesh IyerMentored by Brad Larson, Marc Rasi
Swift for TensorFlow is a Swift library that helps develop and train ML models. Data Visualization can be helpful when exploring a dataset. It helps...
Text embedding modules in tensorflow hub
Tasmiah Tahsin MayeeshaMentored by Vojtech Bardiovsky
Project's main goal is adding new techniques and tools for text embedding modules in TensorFlow Hub.It is divided into three parts: Improve the...
TensorFlow Official Model Migration to v2.0
aceMentored by Tomer Kaftan, Alex Passos, Sergio G
Migration of official TensorFlow models to use/support TF v2.0 features/functions.
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Data: Google Summer of Code public archive. Contributor counts are accepted projects.