| apachecn/ailearning |
37,352 |
|
0 |
2 |
over 2 years ago |
8 |
March 20, 2022 |
1 |
other |
Python |
| AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2 |
| karpathy/char-rnn |
11,227 |
|
0 |
0 |
over 2 years ago |
0 |
|
112 |
|
Lua |
| Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch |
| BlinkDL/RWKV-LM |
10,705 |
|
0 |
0 |
about 2 years ago |
0 |
|
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. |
| Mikoto10032/DeepLearning |
7,463 |
|
0 |
0 |
almost 4 years ago |
0 |
|
8 |
apache-2.0 |
Jupyter Notebook |
| 深度学习入门教程, 优秀文章, Deep Learning Tutorial |
| kjw0612/awesome-rnn |
5,856 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
|
|
| Recurrent Neural Network - A curated list of resources dedicated to RNN |
| bentrevett/pytorch-seq2seq |
5,024 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. |
| bentrevett/pytorch-sentiment-analysis |
4,133 |
|
0 |
0 |
about 2 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Tutorials on getting started with PyTorch and TorchText for sentiment analysis. |
| jinfagang/tensorflow_poems |
3,152 |
|
0 |
0 |
over 5 years ago |
0 |
|
23 |
|
Python |
| 中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！ |
| guillaume-chevalier/LSTM-Human-Activity-Recognition |
3,074 |
|
0 |
0 |
over 3 years ago |
0 |
|
19 |
mit |
Jupyter Notebook |
| Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier |
| zzw922cn/Automatic_Speech_Recognition |
2,743 |
|
0 |
0 |
about 4 years ago |
0 |
|
69 |
mit |
Python |
| End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow |
