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 (1432)
Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy,...
Machine Learning and Agentic AI Resources, Practice and Research
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to...
Torchreid: Deep learning person re-identification in PyTorch.
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...
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
Lightning ⚡️ fast forecasting with statistical and econometric models.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）
An Engine-Agnostic Deep Learning Framework in Java
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
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
🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence conc...
Relax! Flux is the ML library that doesn't make you tensor
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
A Rust machine learning framework.
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
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.
Next generation of automated data exploratory analysis and visualization platform.
Data augmentation for NLP
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Curated list of Python resources for data science.
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs...
🤗 AutoTrain Advanced
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Machine learning, computer vision, statistics and general scientific computing for .NET
Learn AI/ML for beginners with a roadmap and free resources.
Tengine is a lite, high performance, modular inference engine for embedded device
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Merlion: A Machine Learning Framework for Time Series Intelligence
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high perform...
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Probabilistic reasoning and statistical analysis in TensorFlow
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Plain python implementations of basic machine learning algorithms
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry