There are 53 repositories under transfer-learning topic.
《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
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Collection of AWESOME vision-language models for vision tasks
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
《迁移学习简明手册》LaTex源码
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
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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.
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
A comprehensive list of awesome contrastive self-supervised learning papers.
Official Pytorch implementation of CutMix regularizer
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
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.