#Transfer-learning
Showing 60 of 109 repositories tagged #transfer-learning, ranked by stars
《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
Fast and Accurate ML in 3 Lines of Code
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.
The next generation deep reinforcement learning tookit
Collection of AWESOME vision-language models for vision tasks
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
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
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
🦄 State-of-the-Art Conversational AI with Transfer Learning
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
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"
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Build computer vision models in a fraction of the time and with less data.
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer 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!
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
A collection of implementations of deep domain adaptation algorithms
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
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!
Awesome Multitask Learning Resources
Towards deepfake detection that actually works
Complete-Life-Cycle-of-a-Data-Science-Project
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Collection of awesome parameter-efficient fine-tuning resources.
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
A library for ML benchmarking. It's powerful.
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Deep Learning Computer Vision Algorithms for Real-World Use
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
BERT-NER (nert-bert) with google bert https://github.com/google-research.
Domain adaptation made easy. Fully featured, modular, and customizable.
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Paper List of Pre-trained Foundation Recommender Models
A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
Unity's privacy-preserving human-centric synthetic data generator
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Learning to Cluster. A deep clustering strategy.
Chest Xray image analysis using Deep learning !
دوره جامع یادگیری عمیق با Tensorflow و Keras
Human action classification system with pose-based (MediaPipe) and video-based (3D CNN) models. Features 100+ architectures for real-time pose classification and temporal models pretrained on UCF-101/HMDB51.
Transfer Learning library for Deep Neural Networks.
Awesome Resources for Advanced Computer Vision Topics
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Image classification for everyone.
CNN image classifier implemented in Keras Notebook 🖼️.