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 (1432)
Boltzmann Machines in TensorFlow with examples
Emotion recognition using DNN with tensorflow
Translate - a PyTorch Language Library
An autoML framework & toolkit for machine learning on graphs.
To speedup and simplify image labeling/ annotation process with multiple supported formats.
ELKI Data Mining Toolkit
Descriptive Deep Learning
Extra blocks for scikit-learn pipelines.
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
Code and other material for the book "Deep Learning and the Game of Go"
Mycroft interface for Raspberry Pi environment
Research papers with annotations, illustrations and explanations
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learni...
Reinforcement learning environments with musculoskeletal models
A simple neural network for python autocompletion
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Get Deinked!!
Machine learning framework for both deep learning and traditional algorithms
A curated list of gradient boosting research papers with implementations.
Code, exercises and tutorials of my personal blog ! 📝
: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
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）
Markdown 語法說明中文版
A simple library for creating complex neural networks
Full Stack Deep Learning Online Course
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....
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Feature exploration for supervised learning
Awesome Generative Adversarial Networks with tensorflow
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