Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
May 22, 2024 - Python
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
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
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.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
🏡 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
jiant is an nlp toolkit
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
Official Pytorch implementation of CutMix regularizer
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Measuring Massive Multitask Language Understanding | ICLR 2021
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