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)
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple inte...
Code for Tensorflow Machine Learning Cookbook
🎛 🔊 A Python library for audio.
Matlab code of machine learning algorithms in book PRML
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A list of useful Java frameworks, libraries, software and hello worlds examples
A list of popular github projects related to deep learning
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A scikit-learn compatible neural network library that wraps PyTorch
A curated list of project tutorials for project-based learning.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Swift for TensorFlow
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences i...
An Industrial Grade Federated Learning Framework
The Swift machine learning library.
header only, dependency-free deep learning framework in C++14
A system for quickly generating training data with weak supervision
:alarm_clock: AI conference deadline countdowns
OpenCV wrapper for .NET
Gorgonia is a library that helps facilitate machine learning in Go.
A flexible framework of neural networks for deep learning
Gluon CV Toolkit
🌊 Online machine learning in Python
Learn AI and LLMs from scratch using free resources
Uplift modeling and causal inference with machine learning algorithms
A Cloud Native Batch System (Project under CNCF)
Curated list of data science interview questions and answers
🔥 Awesome list of resources on Web Development.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training...
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Publication-ready NN-architecture schematics.
mlpack: a fast, header-only C++ machine learning library
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Deep Reinforcement Learning for Keras.
中国的Quant相关资源索引
Play couplet with seq2seq model. 用深度学习对对联。
Supercharge Your Model Training
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Rust language bindings for TensorFlow
Democratizing Reinforcement Learning for LLMs
A C++ standalone library for machine learning
Rust bindings for the C++ api of PyTorch.
A supercharged version of paperless: scan, index and archive all your physical documents