KeruHua's repositories
awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
d2l-pytorch
This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.
Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
ee227c.github.io
EE227C (Spring 2018) Course page
generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
OpenSeq2Seq
Toolkit for efficient experimentation with various sequence-to-sequence models
practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
pytorch-openai-transformer-lm
A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
UnsupervisedMT
Phrase-Based & Neural Unsupervised Machine Translation