Natsu's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
wav2letter
Facebook AI Research's Automatic Speech Recognition Toolkit
graph_nets
Build Graph Nets in Tensorflow
practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
wordvectors
Pre-trained word vectors of 30+ languages
AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
ml-yearning-vi
Một cuốn sách tập trung vào hướng dẫn cách cấu trúc các dự án Học Máy và phân tích cách làm cho các thuật toán Học Máy hoạt động.
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
bdl-benchmarks
Bayesian Deep Learning Benchmarks
attention_keras
Keras Layer implementation of Attention for Sequential models
Hierarchical-attention-networks-pytorch
Hierarchical Attention Networks for document classification
news-corpus
Corpus tiếng việt
neural_sequence_labeling
A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.
CE7454_2019
Deep learning course CE7454, 2019
Self-Attention-Keras
自注意力与文本分类
Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685
keras_elmo_embedding_layer
This is a drop-in Keras layer for ELMo embeddings.