Learning
50 items across the graph — tagged with Learning.
From the graph · 50
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference a…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
List of Computer Science courses with video lectures.
Open Data Platform for analysts, quants and AI agents.
scikit-learn: machine learning in Python
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
12 Weeks, 24 Lessons, AI for All!
The Julia Programming Language
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google -…
We write your reusable computer vision tools. 💜
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A community-supported supercharged document management system: scan, index and archive all your documents
Cross-platform, customizable ML solutions for live and streaming media.
Visualizer for neural network, deep learning and machine learning models
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdran…
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-…
The Modular Platform (includes MAX & Mojo)
Machine Learning Systems
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with exp…
Production-grade Rust-native trading engine with deterministic event-driven architecture
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Best Practices on Recommendation Systems
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Pytho…
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Datasets, Transforms and Models specific to Computer Vision
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular…
Open3D: A Modern Library for 3D Data Processing
Open Machine Learning Compiler Framework
Learn ML engineering for free in 4 months! Register here 👇🏼
Nmap - the Network Mapper. Github mirror of official SVN repository.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automat…
🐍 Geometric Computer Vision Library for Spatial AI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Refine high-quality datasets and visual AI models
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Fast and Accurate ML in 3 Lines of Code
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Containers for machine learning
ML.NET is an open source and cross-platform machine learning framework for .NET.