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)
Stock Price Prediction using Machine Learning Techniques
MLBox is a powerful Automated Machine Learning python library.
A distributed system for embedding-based vector retrieval
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The...
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
Tutorials and training material for the H2O Machine Learning Platform
Multi-class confusion matrix library in Python
Google Colaboratory Notebooks and Repositories (by @firmai)
Google Deep Learning Notes（TensorFlow教程）
An adblocker for live radio streams and podcasts. Machine learning meets Shazam.
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #...
Machine Learning Platform and Recommendation Engine built on Kubernetes
ID3-based implementation of the ML Decision Tree algorithm
✍️ A carefully curated list of NLP paper summaries
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
ModelFox makes it easy to train, deploy, and monitor machine learning models.
The collaboration workspace for Machine Learning
Deep Learning Toolkit for Medical Image Analysis
Deep Learning in Haskell
:memo: Подборка ресурсов по машинному обучению
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
fklearn: Functional Machine Learning
Types and functions that make it a little easier to work with Core ML in Swift.
OpenCV-Python4.1 中文文档
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
Concise and beautiful algorithms written in Julia
Research Framework for easy and efficient training of GANs based on Pytorch
Neural Network built in Apple Playground using Swift
Tribuo - A Java machine learning library
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox c...
the open-source virtual assistant for Ubuntu based Linux distributions
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Koç University deep learning framework.
A curated list of Machine Learning Surveys, Tutorials and Books.
A research toolkit for particle swarm optimization in Python
🧙 A web app to generate template code for machine learning
Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信...
The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese...
Mathematical derivation and pure Python code implementation of machine learning algorithms.
Connecting Torch to StarCraft
A Toolbox for Adversarial Robustness Research
A curated list of articles that cover the software engineering best practices for building machine learning applications.
Deploy a ML inference service on a budget in less than 10 lines of code.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
《机器学习实战》的python3源码