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 (1435)
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
Deep Reinforcement Learning: Zero to Hero!
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
This repository helps you learn Python and Machine Learning from scratch.
A Python package to assess and improve fairness of machine learning models.
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Pytho...
simple neural network library in C99
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
Feature engineering and selection open-source Python library compatible with sklearn.
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Sp...
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions,...
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
This curated list contains python packages for time series analysis
A library for training and deploying machine learning models on Amazon SageMaker
Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression...
TensorFlow for Raspberry Pi
This repository is deprecated and will be archived
Bayesian inference with probabilistic programming.
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare m...
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
An open source library and framework for deep learning on satellite and aerial imagery.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
🏕️ Reproducible development environment for humans and agents
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Curated list: Resources for machine learning in Ruby
Basic Utilities for PyTorch Natural Language Processing (NLP)
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
UnrealCV: Connecting Computer Vision to Unreal Engine
A high-level machine learning and deep learning library for the PHP language.
Codes/Notebooks for AI Projects
Official repository of the xLSTM.
Fast State-of-the-Art Static Embeddings
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowle...
TFX is an end-to-end platform for deploying production ML pipelines
Reformer, the efficient Transformer, in Pytorch
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
The Operator Splitting QP Solver
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
An open-source Python framework for hybrid quantum-classical machine learning.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Collection of advice for prospective and current PhD students
Awesome machine learning for combinatorial optimization papers.
JAX - A curated list of resources https://github.com/google/jax