Learn how to develop, deploy and iterate on production-grade ML applications.
Repository Index
47,133 repositories indexed
1–15 of 15 · Most stars
:memo: An awesome Data Science repository to learn and apply for real world problems.
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
header only, dependency-free deep learning framework in C++14
mlpack: a fast, header-only C++ machine learning library
Visual localization made easy with hloc
3,516 curated Figure 1 / teasers from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2026), with tier badges and FigureForge retrieval-augmented figure drafting
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Foundation Models for Genomics & Transcriptomics
tutorials made for biologists to learn deep learning
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
Cryptographic Dataset Generation & Modelling Framework
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.