Pytorch Dnc
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Handbook | 18,594 | 9 months ago | 52 | Jupyter Notebook | ||||||
| pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行 | ||||||||||
| Pytorch Book | 11,409 | 4 months ago | 134 | mit | Jupyter Notebook | |||||
| PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》) | ||||||||||
| Simple Faster Rcnn Pytorch | 3,107 | 3 years ago | 164 | other | Jupyter Notebook | |||||
| A simplified implemention of Faster R-CNN that replicate performance from origin paper | ||||||||||
| Tnt | 1,598 |  | 25 | 13 | 3 months ago | 3 | July 29, 2018 | 36 | other | Python |
| A lightweight library for PyTorch training tools and utilities | ||||||||||
| Capsule Networks | 1,419 | 5 years ago | 20 | Python | ||||||
| A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". | ||||||||||
| Speech Transformer | 714 | a year ago | 5 | Python | ||||||
| A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese. | ||||||||||
| Pytorch Rl | 703 | 6 years ago | 3 | mit | Python | |||||
| Deep Reinforcement Learning with pytorch & visdom | ||||||||||
| Fchd Fully Convolutional Head Detector | 560 | 3 years ago | 43 | other | Python | |||||
| Code for FCHD - A fast and accurate head detector | ||||||||||
| Pytorch Best Practice | 499 | 5 years ago | 9 | Python | ||||||
| A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats | ||||||||||
| Ssd Pytorch | 335 | 2 years ago | 2 | apache-2.0 | Python | |||||
| SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand ) | ||||||||||
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