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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

ray

A high-performance distributed execution engine

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

scikit-learn

scikit-learn: machine learning in Python

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

sequence-labeling

sequence-labeling-bilstm-crf

BiLSTM-CRF joint model for tasks like sequence labeling using char/word level embeddings in Tensorflow

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tensorflow-char-rnn

Char-RNN implemented using TensorFlow.

tensorlm

📝 Wrapper library for text generation / language models at char and word level with RNN in TensorFlow

text_classification

all kinds of text classificaiton models and more with deep learning

tqdm

A fast, extensible progress bar for Python and CLI

xia-nb

A C++ implementation of naive Bayes model

zhihu

知乎专栏源码