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)
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Please do not feed the models
A repository to curate and summarise research papers related to fashion and e-commerce
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object...
Learn about Machine Learning and Artificial Intelligence
Quiz & Assignment of Coursera
CTR prediction model based on spark(LR, GBDT, DNN)
😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc
PyStan, the Python interface to Stan
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache...
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Machine Learning University: Accelerated Tabular Data Class
BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
Elasticsearch with BERT for advanced document search.
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
Earth observation processing framework for machine learning in Python
Flappy Bird hack using Reinforcement Learning
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误...
AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。
A Julia wrapper for TensorFlow
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Open source audio annotation tool for humans™
Machine learning for NeuroImaging in Python
AI projects
The Hitchhiker's Guide to Data Science for Social Good
My Reading Lists of Deep Learning and Natural Language Processing
FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型（QQ群：16712...
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
Extra blocks for scikit-learn pipelines.
Descriptive Deep Learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
Mycroft interface for Raspberry Pi environment
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"
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learni...
Research papers with annotations, illustrations and explanations
Reinforcement learning environments with musculoskeletal models
A simple neural network for python autocompletion
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs