Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

Built e2e ci/cd pipeline with GitHub Actions, Docker, Amazon ECR and hosted to AWS EC2

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

NM (Neural Module). It is a scheme for the mindustry game. It is a tool for simulation and training of neural networks (yes, right in the game). NM has its own request-response language, thanks to which you can manage and configure NM. NM uses the Forward-Forward algorithm (presented by Jeffrey Hinton, at the NeurIPS 2022 conference)

Nerlnet is a distributed machine learning platform for experiments and IoT deployment.

Linux LiveCD for offline AI training and inference.

[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

Tensors and Dynamic neural networks in Python with strong GPU acceleration

High-performance automatic differentiation of LLVM and MLIR.

Collection of Machine Learning Algorithms

Web application for predicting the number of available bike stands at one of the MBajk bike stations.

An Open Source Machine Learning Framework for Everyone

Structured machine learning project

🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Maithili-news-gnews is a project aimed at automating the fetching of news from the GNews API, translating it into the Maithili language, and then classifying it using a machine learning model. The classified news articles are then displayed on a website using Streamlit.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

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）

I will leave here some exercises that I did in the Python language.