machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1414)
Machine learning framework for both deep learning and traditional algorithms
Get Deinked!!
Code, exercises and tutorials of my personal blog ! 📝
A curated list of gradient boosting research papers with implementations.
:seedling: Next-Gen AI-Assisted Isomorphic Application Engine for Embedded, Console, Mobile, Server and Desktop
Neural conversational model in Torch
gesture recognition toolkit
Android TensorFlow Lite Machine Learning Example
A simple library for creating complex neural networks
国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）
Full Stack Deep Learning Online Course
Markdown 語法說明中文版
A medical imaging framework for Pytorch
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques....
Awesome Generative Adversarial Networks with tensorflow
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Feature exploration for supervised learning
Generic and easy-to-use serving service for machine learning models
Node.js client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
A face recognition solution on mobile device.
Visualizing RNNs using the attention mechanism
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: ht...
Chrome extension to flag fake news on Facebook. Built at HackPrinceton '16
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Standardized data set for machine learning of protein structure
TensorFlow and Deep Learning Tutorials
机器学习&深度学习网站资源汇总（Machine Learning Resources）
captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.
Stanford Code From Cars That Entered DARPA Grand Challenges
An ongoing list of pandas quirks
Java Statistical Analysis Tool, a Java library for Machine Learning
An evolving guide to learning Deep Learning effectively.
Machine Learning Problem Bible | Problem Set Here >>
Food Classification with Deep Learning in Keras / Tensorflow
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local Binary Patterns, Examples...
Framework and Library for Distributed Online Machine Learning
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ML-Ensemble – high performance ensemble learning
The MobileNet neural network using Apple's new CoreML framework
A scikit-learn based module for multi-label et. al. classification
Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别
Bayesian Text classification service based on Redis and Python/Tornado
Pool-based active learning in Python
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Deep neural network framework for multi-label text classification
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Survival analysis built on top of scikit-learn