Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
-
Updated
Jul 9, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A library for transfer learning by reusing parts of TensorFlow models.
Fast and Accurate ML in 3 Lines of Code
The next generation deep reinforcement learning tookit
🔥🔥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.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
🦄 State-of-the-Art Conversational AI with Transfer Learning
jiant is an nlp toolkit
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Deep Learning Computer Vision Algorithms for Real-World Use
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
A collection of implementations of deep domain adaptation algorithms
Keras implementation of BERT with pre-trained weights
Towards deepfake detection that actually works
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Add a description, image, and links to the transfer-learning topic page so that developers can more easily learn about it.
To associate your repository with the transfer-learning topic, visit your repo's landing page and select "manage topics."