Topics / #transfer-learning

Transfer-learning projects on GitHub

Reusing pretrained models for new downstream tasks.

As of October 18, 2026, the most-starred Transfer-learning projects on GitHub are DeepLearning-500-questions (57.7K stars), Mask_RCNN (25.6K stars) and vit-pytorch (25.6K stars). GitHub.Locker tracks 13 Transfer-learning repositories with 247.1K stars combined. The fastest-growing on October 17 was machine-learning-zoomcamp, with +7 stars in a day.

13Projects

247.1KStars in total

+21Stars in a day

Browse in the catalog →github.com/topics/transfer-learning ↗

Hot right now

Most stars gained in a day · Oct 17

machine-learning-zoomcamp

DataTalksClub/machine-learning-zoomcamp · ★ 14.8K

Machine Learning Zoomcamp is a free, hands-on course that teaches you how to build, evaluate, and deploy real machine learning systems, going from a raw problem all the way to a production service.

fastbook

fastai/fastbook · ★ 25.4K

This repo contains the official Jupyter Notebooks for 'the fastai book', an introduction to deep learning, the fastai library, and PyTorch.

autogluon

autogluon/autogluon · ★ 10.8K

AutoGluon is an open-source Python library that automates machine learning: feed it your data and it delivers strong predictive performance in about three lines of code.

vit-pytorch

lucidrains/vit-pytorch · ★ 25.6K

A PyTorch implementation of the Vision Transformer (ViT), an image classification model that reaches SOTA results using just a single transformer encoder instead of convolutions.

The all-time top

13 projects · by stars

#1 · scutan90/DeepLearning-500-questions
DeepLearning-500-questions
It is a Chinese-language Q&A style reference covering probability, linear algebra, machine learning, deep learning, and computer vision, organized as answers to 500+ commonly asked questions across 18 chapters and over 500,000 characters. It is also sold in print as 'Deep Learning 500 Questions — AI Engineer Interview Guide' (深度学习500问——AI工程师面试宝典).
57.7K
#2 · matterport/Mask_RCNN
Mask_RCNN
An implementation of the Mask R-CNN model on Python 3, Keras and TensorFlow that generates bounding boxes and a segmentation mask for each object instance in an image, built on a Feature Pyramid Network and a ResNet101 backbone.
25.6K
#3 · lucidrains/vit-pytorch
vit-pytorch
A PyTorch implementation of the Vision Transformer (ViT), an image classification model that reaches SOTA results using just a single transformer encoder instead of convolutions.
25.6K

4
fastbook
25.4Kfastai/fastbook · Jupyter Notebook
This repo contains the official Jupyter Notebooks for 'the fastai book', an introduction to deep learning, the fastai library, and PyTorch.
5
deeplearning-models
17.6Krasbt/deeplearning-models · Jupyter Notebook
A large collection of Jupyter Notebooks implementing various deep learning architectures, models, and training tips for TensorFlow and PyTorch.
6
leedl-tutorial
16.8Kdatawhalechina/leedl-tutorial · Jupyter Notebook
A free Chinese-language deep learning tutorial (nicknamed the 'Apple Book') based on Prof. Li Hongyi's (Hung-yi Lee) 'Machine Learning' course, covering most major deep learning topics in detail.
7
tfjs-models
14.8Ktensorflow/tfjs-models · TypeScript
A collection of pretrained machine learning models ported to TensorFlow.js, covering vision, audio, text, and general utility tasks, ready to use directly in browser or Node.js projects.
8
machine-learning-zoomcamp
14.8KDataTalksClub/machine-learning-zoomcamp · Jupyter Notebook
Machine Learning Zoomcamp is a free, hands-on course that teaches you how to build, evaluate, and deploy real machine learning systems, going from a raw problem all the way to a production service.
9
transferlearning
14.4Kjindongwang/transferlearning · Python
A curated knowledge base covering transfer learning, domain adaptation, domain generalization and related subfields - papers, tutorials, code, datasets, scholars and surveys, maintained in both English and Chinese.
10
vision_transformer
12.7Kgoogle-research/vision_transformer · Jupyter Notebook
This is Google Research's official JAX/Flax code release for Vision Transformer (ViT) and MLP-Mixer image classification models, including pretrained checkpoints and scripts to fine-tune them on your own data.
11
autogluon
10.8Kautogluon/autogluon · Python
AutoGluon is an open-source Python library that automates machine learning: feed it your data and it delivers strong predictive performance in about three lines of code.
12
yolov3
10.6Kultralytics/yolov3 · Python
Ultralytics' PyTorch implementation of the YOLOv3 real-time object detector, packaging three model variants - YOLOv3, YOLOv3-SPP and YOLOv3-tiny - with training, validation, inference and multi-format export tooling.
13
Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images
397OliverDOU776/Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images · Python
GlucoFlow is research code for probabilistic glucose forecasting: it generates full future trajectories (medians, intervals, event probabilities) in just 1-4 sampling steps using a conditional rectified-flow model, optionally conditioned on meal photos or other side information.