transfer-learning

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Fast and Accurate ML in 3 Lines of Code

A collection of AWESOME things about domain adaptation

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

A library for transfer learning by reusing parts of TensorFlow models.

Collection of AWESOME vision-language models for vision tasks

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

Collection of awesome test-time (domain/batch/instance) adaptation methods

A comprehensive list of awesome contrastive self-supervised learning papers.

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

TensorFlow 101: Introduction to Deep Learning

ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

The prime repository for state-of-the-art Multilingual Question Answering research and development.

Train a state-of-the-art yolov3 object detector from scratch!

Complete-Life-Cycle-of-a-Data-Science-Project

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)