Machine-Learning
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
Browse the latest quality-filtered tools added to YunoDB from verified public project data.
13737 tools
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly and scalable.
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into sin
A Static Analyzer for Java Powered by Machine Learning: Identifies Anti-Patterns Begging for Refactoring
An evaluation framework for machine learning models simulating high-throughput materials discovery.
Pythonic framework for building ONNX graphs
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
A toolkit for making real world machine learning and data analysis applications in C++
This repository helps you learn Python and Machine Learning from scratch.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Human-AI Collaborative Data Science Using Visual Workflows
I categorize, annotate and write comments for all research papers I read (550+ papers since 2018).
A searchable gallery of 2,730 well-designed Figure 1 / teaser figures from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2025), tagged with Oral / Spotlight / Best
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 locally in you
⚡ Easy API access to the tabular foundation model TabPFN ⚡
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Reservoir computing utilities for scientific machine learning (SciML)
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ S
📚 All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A python library for user-friendly forecasting and anomaly detection on time series.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.