Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Easyocr | 23,793 | 69 | 4 months ago | 32 | September 04, 2023 | 340 | apache-2.0 | Python | ||
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. | ||||||||||
Examples | 21,341 | a year ago | 198 | bsd-3-clause | Python | |||||
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. | ||||||||||
Rwkv Lm | 12,046 | 5 months ago | 60 | apache-2.0 | Python | |||||
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding. | ||||||||||
Deeplearning | 7,463 | 3 years ago | 8 | apache-2.0 | Jupyter Notebook | |||||
深度学习入门教程, 优秀文章, Deep Learning Tutorial | ||||||||||
Machine Learning Collection | 6,173 | a year ago | 95 | mit | Python | |||||
A resource for learning about Machine learning & Deep Learning | ||||||||||
Pytorch Seq2seq | 5,024 | a year ago | mit | Jupyter Notebook | ||||||
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. | ||||||||||
Pytorch Sentiment Analysis | 4,133 | a year ago | 3 | mit | Jupyter Notebook | |||||
Tutorials on getting started with PyTorch and TorchText for sentiment analysis. | ||||||||||
Nlp Beginner | 3,884 | 4 years ago | 2 | |||||||
NLP上手教程 | ||||||||||
Pytorch Kaldi | 2,138 | 3 years ago | 24 | Python | ||||||
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit. | ||||||||||
Sru | 2,012 | 1 | 2 | 3 years ago | 32 | June 17, 2021 | 58 | mit | Python | |
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755) |