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)
Algorithms for explaining machine learning models
Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Machine learning platform for Web developers
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Audio Plugin for Audio to MIDI transcription using deep learning.
✨ Build a machine learning model from a prompt
:book: [译] 面向机器学习的特征工程
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
NLP made easy
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
10x faster matrix and vector operations
YoloV3 Implemented in Tensorflow 2.0
Time Series Forecasting Best Practices & Examples
Summaries of machine learning papers
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, a...
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,...
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2...
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android
A toolkit to run Ray applications on Kubernetes
A collection of research papers on decision, classification and regression trees with implementations.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Ru...
A Python library that helps data scientists to infer causation rather than observing correlation.
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
Interactive Go programming with Jupyter
ML from scratch
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
A curated list of community detection research papers with implementations.
The Self-Coding System for Your App — Alan AI SDK for Web
Machine Learning University: Accelerated Natural Language Processing Class
An intuitive library to add plotting functionality to scikit-learn objects.
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de c...
Machine learning metrics for distributed, scalable PyTorch applications.
Single-cell analysis in Python. Scales to >100M cells.
Datasets, tools, and benchmarks for representation learning of code.
Large-scale pretraining for dialogue
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
A curated list of awesome projects and resources related to Argo (a CNCF graduated project)
A repo for data science related questions and answers
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
👩🏫 Advanced NLP with spaCy: A free online course
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friend...
SDG is a specialized framework designed to generate high-quality structured tabular data.
Deep Learning toolkit for Computer Vision.