https://github.com/dsksd/pytorch_models
PyTorch study
https://github.com/dsksd/pytorch_models
deep-learning generative-adversarial-network nlp pytorch vae
Last synced: 5 days ago
JSON representation
PyTorch study
- Host: GitHub
- URL: https://github.com/dsksd/pytorch_models
- Owner: DSKSD
- Created: 2017-03-18T04:03:22.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-10-16T11:09:05.000Z (over 8 years ago)
- Last Synced: 2025-06-20T10:39:51.004Z (9 months ago)
- Topics: deep-learning, generative-adversarial-network, nlp, pytorch, vae
- Language: Jupyter Notebook
- Size: 34.5 MB
- Stars: 14
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Pytorch Study
파이토치 스터디
관심있는 모든 것(NLP, Generative Model, RL,...)을 더욱 잘 이해하기 위해 코드로 구현해보기
클래식한 모델부터 논문, 튜토리얼, 강의, 블로그를 읽고 이해한 것을 바탕으로
구현해보기 +_+
언젠가 직접 모델링하는 그 날까지...
## 파이썬 3.5 Pytorch 환경 구축해둔 도커
ubuntu 16.04 python 3.5.2 with various of ML/DL packages including tensorflow, sklearn, pytorch
`docker pull dsksd/deepstudy:0.2`
## 1. Deep NLP Models
1. BoWClassifier
2. NGRAM & CBOW
3. LSTM POS Tagger
4. Bidirectional LSTM POS Tagger
5. LSTM batch learning
6. Vanilla Sequence2Sequence (Encoder-Decoder)
7. Sequence2Sequence with Attention
8. Relational Network for bAbI task(in progress)
9. Transformer(Attention is all you need)
### 읽고 구현해보고 싶은 논문 리스트
1. Poincaré Embeddings for Learning Hierarchical Representations
2. Neural Embeddings of Graphs in Hyperbolic Space
3. A Deep Reinforced Model for Abstractive Summarization
4. Controllable Text Generation
5. A simple neural network module for relational reasoning
## 2. Generative Models
1. Basic Auto-Encoder
2. Regularized Auto-Encoder
3. Variational Auto-Encoder
3-1. Appendix1: Entropy and KL-divergence
4. Variational Reccurent Auto-Encoder
## 3. Reinforcement Learning
## 4. Evolutionary Algorithms