| 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, ... 🧠 |
| datawhalechina/leedl-tutorial |
8,682 |
|
0 |
0 |
about 2 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| 《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases |
| MorvanZhou/PyTorch-Tutorial |
7,372 |
|
0 |
0 |
about 3 years ago |
0 |
|
28 |
mit |
Jupyter Notebook |
| Build your neural network easy and fast, 莫烦Python中文教学 |
| tensorlayer/TensorLayer |
7,269 |
|
34 |
6 |
about 3 years ago |
84 |
February 15, 2022 |
30 |
other |
Python |
| Deep Learning and Reinforcement Learning Library for Scientists and Engineers |
| PaddlePaddle/awesome-DeepLearning |
2,670 |
|
0 |
0 |
about 2 years ago |
0 |
|
462 |
apache-2.0 |
Jupyter Notebook |
| 深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI |
| YunYang1994/TensorFlow2.0-Examples |
1,692 |
|
0 |
0 |
over 3 years ago |
0 |
|
99 |
mit |
Jupyter Notebook |
| 🙄 Difficult algorithm, Simple code. |
| PacktPublishing/Advanced-Deep-Learning-with-Keras |
1,534 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
mit |
Python |
| Advanced Deep Learning with Keras, published by Packt |
| nivu/ai_all_resources |
647 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| A curated list of Best Artificial Intelligence Resources |
| Khrylx/PyTorch-RL |
638 |
|
0 |
0 |
about 5 years ago |
0 |
|
6 |
mit |
Python |
| PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO. |
| CR-Gjx/LeakGAN |
561 |
|
0 |
0 |
almost 4 years ago |
0 |
|
21 |
|
Python |
| The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning. |
