There are 51 repositories under transfer-learning topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
A collection of AWESOME things about domian adaptation
The next generation deep reinforcement learning tookit
A library for transfer learning by reusing parts of TensorFlow models.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
《迁移学习简明手册》LaTex源码
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
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
Collection of AWESOME vision-language models for vision tasks
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
一些关于机器学习的学习资料与研究介绍
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
🦄 State-of-the-Art Conversational AI with Transfer Learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
High Quality Monocular Depth Estimation via Transfer Learning
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Official Pytorch implementation of CutMix regularizer
A comprehensive list of awesome contrastive self-supervised learning papers.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
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
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101