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 (1438)
Extensible, parallel implementations of t-SNE
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
General Assembly's 2015 Data Science course in Washington, DC
Machine Learning University: Accelerated Computer Vision Class
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
High-quality implementations of standard and SOTA methods on a variety of tasks.
Convert any music library into a music production sample-library with ML
What's in your data? Extract schema, statistics and entities from datasets
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Keras community contributions
On-line Machine Learning in Go (and so much more)
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Infer.NET is a framework for running Bayesian inference in graphical models
PyTorch extensions for fast R&D prototyping and Kaggle farming
self-driving MarioKart with TensorFlow
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Spea...
AI for GNU Image Manipulation Program
Simulation of spiking neural networks (SNNs) using PyTorch.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
A collection of video resources for machine learning
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
Stock Price Prediction using Machine Learning Techniques
A very simple generative adversarial network (GAN) in PyTorch
MLBox is a powerful Automated Machine Learning python library.
Convert Apple NeuralHash model for CSAM Detection to ONNX.
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...
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Google Colaboratory Notebooks and Repositories (by @firmai)
Multi-class confusion matrix library in Python
Tutorials and training material for the H2O Machine Learning Platform
ID3-based implementation of the ML Decision Tree algorithm
An adblocker for live radio streams and podcasts. Machine learning meets Shazam.
Google Deep Learning Notes（TensorFlow教程）
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #...
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
Machine Learning Platform and Recommendation Engine built on Kubernetes
✍️ 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
:memo: Подборка ресурсов по машинному обучению
Deep Learning in Haskell
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
OpenCV-Python4.1 中文文档