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 (1354)
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Time series forecasting with PyTorch
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is...
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
A Cloud Native Batch System (Project under CNCF)
Relax! Flux is the ML library that doesn't make you tensor
Machine Learning and Agentic AI Resources, Practice and Research
A collection of infrastructure and tools for research in neural network interpretability.
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to...
Data augmentation for NLP
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Build local voice agents with open-source models
A python module to repair invalid JSON from LLMs
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Curated list of Python resources for data science.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
cuML - RAPIDS Machine Learning Library
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs...
An Engine-Agnostic Deep Learning Framework in Java
🤗 AutoTrain Advanced
Torchreid: Deep learning person re-identification in PyTorch.
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
Machine learning, computer vision, statistics and general scientific computing for .NET
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
Long list of geospatial tools and resources
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
Tengine is a lite, high performance, modular inference engine for embedded device
Code Repository for Machine Learning with PyTorch and Scikit-Learn
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
Next generation of automated data exploratory analysis and visualization platform.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
:sunglasses: A curated list of awesome MLOps tools
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry