| labmlai/annotated_deep_learning_paper_implementations |
41,877 |
|
0 |
2 |
over 2 years ago |
79 |
November 05, 2023 |
30 |
mit |
Jupyter Notebook |
| 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 |
| ddbourgin/numpy-ml |
14,162 |
|
0 |
0 |
over 2 years ago |
3 |
June 20, 2020 |
35 |
gpl-3.0 |
Python |
| Machine learning, in numpy |
| jessevig/bertviz |
5,547 |
|
0 |
3 |
over 2 years ago |
5 |
April 02, 2022 |
8 |
apache-2.0 |
Python |
| BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.) |
| lucidrains/reformer-pytorch |
1,917 |
|
0 |
0 |
almost 3 years ago |
139 |
November 06, 2021 |
14 |
mit |
Python |
| Reformer, the efficient Transformer, in Pytorch |
| r9y9/deepvoice3_pytorch |
1,906 |
|
0 |
0 |
over 2 years ago |
0 |
|
43 |
other |
Python |
| PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models |
| huseinzol05/NLP-Models-Tensorflow |
1,329 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0 |
| emedvedev/attention-ocr |
957 |
|
0 |
0 |
over 2 years ago |
21 |
April 19, 2019 |
26 |
mit |
Python |
| A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine. |
| datalogue/keras-attention |
656 |
|
0 |
0 |
almost 7 years ago |
0 |
|
22 |
agpl-3.0 |
Python |
| Visualizing RNNs using the attention mechanism |
| kyegomez/LongNet |
613 |
|
0 |
0 |
over 2 years ago |
37 |
August 10, 2023 |
3 |
apache-2.0 |
Python |
| Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens" |
| The-AI-Summer/self-attention-cv |
550 |
|
0 |
0 |
over 4 years ago |
5 |
July 26, 2021 |
1 |
mit |
Python |
| Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository. |
