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)
The machine learning toolkit for time series analysis in Python
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
A python library for decision tree visualization and model interpretation.
Isolate vocals, drums, bass, and other instrumental stems from any song
TensorFlow API for .NET languages
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
Foundation Architecture for (M)LLMs
A high performance implementation of HDBSCAN clustering.
a delightful machine learning tool that allows you to train, test, and use models without writing code
✍️ AI powered documentation writer
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
Machine learning glossary
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Represent, send, store and search multimodal data
Visualize and compare datasets, target values and associations, with one line of code.
NMA Computational Neuroscience course
Awesome free machine learning and AI courses with video lectures.
A comprehensive collection of recent papers on graph deep learning
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware f...
Shōgun
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for...
StellarGraph - Machine Learning on Graphs
HeavyDB (formerly MapD/OmniSciDB)
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate,...
Deep recommender models using PyTorch.
🤖 Machine Learning Summer School Guide
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Toolkit for creating, sharing and using natural language prompts.
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data sc...
A well tested and comprehensive Golang statistics library package with no dependencies.
:sunglasses: A curated list of robotics libraries and software
Sandbox for training deep learning networks
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源...
High-performance runtime for data analytics applications
Quantitative analysis, strategies and backtests
Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered a...
The Python Code Tutorials
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zer...
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL loca...
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Neural network visualization toolkit for keras
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
List of articles related to deep learning applied to music
C++ DataFrame for statistical, financial, and ML analysis in modern C++
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX