There are 38 repositories under transfer-learning topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.
A collection of AWESOME things about domian adaptation
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
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.
《迁移学习简明手册》LaTex源码
The next generation deep reinforcement learning tookit
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 BERT.
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.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Official Pytorch implementation of CutMix regularizer
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Awesome Graph Self-Supervised Learning
A comprehensive list of awesome contrastive self-supervised learning papers.
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
TensorFlow 101: Introduction to Deep Learning
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Keras implementation of BERT with pre-trained weights
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101