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)
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505
Accelerated deep learning R&D
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
WebApps in pure Python. No JavaScript, HTML and CSS needed
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN,...
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruc...
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added fre...
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A library for audio and music analysis, feature extraction.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada an...
List of AI Residency Programs
Algorithmic Trading in Python with Machine Learning
Evaluation and Tracking for LLM Experiments and AI Agents
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
All notes and materials for the CS229: Machine Learning course by Stanford University
JAX-based neural network library
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource...
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (h...
Carefully curated resource links for data science in one place
Statistical and Algorithmic Investing Strategies for Everyone
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Training and serving large-scale neural networks with auto parallelization.
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantu...
Siamese and triplet networks with online pair/triplet mining in PyTorch
List of tools & datasets for anomaly detection on time-series data.
TensorFlow API for .NET languages
The machine learning toolkit for time series analysis in Python
A python library for decision tree visualization and model interpretation.
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
a delightful machine learning tool that allows you to train, test, and use models without writing code
Foundation Architecture for (M)LLMs
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
✍️ AI powered documentation writer
Represent, send, store and search multimodal data
Machine learning glossary
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
📚 Jupyter notebook tutorials for OpenVINO™
A high performance implementation of HDBSCAN clustering.
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware f...