There are 33 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 that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
AutoGluon: AutoML for Image, Text, and Tabular Data
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🔥🔥
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
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
一些关于机器学习的学习资料与研究介绍
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
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.
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
🦄 State-of-the-Art Conversational AI with Transfer Learning
Federated Learning Library: https://fedml.ai
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
High Quality Monocular Depth Estimation via Transfer Learning
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
The next generation deep reinforcement learning tookit
Official Pytorch implementation of CutMix regularizer
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Keras implementation of BERT with pre-trained weights
TensorFlow 101: Introduction to Deep Learning
A comprehensive list of awesome contrastive self-supervised learning papers.
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
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
Awesome Graph Self-Supervised Learning
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Train a state-of-the-art yolov3 object detector from scratch!