Scalable and user friendly neural 🧠 forecasting algorithms.

🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.

Offline encryption of Kubernetes Secrets

A Go Client library for Supabase

YT_subtitles - extracts subtitles from YouTube videos to raw text for Language Model training

Devon: An open-source pair programmer

open-source sms-gateway. turn any android phone into an sms gateway

Developing a Poker AI as a personal project. Poker is an interesting game to develop an AI for because it is an imperfect information game. This means that unlike perfect-information games such as …

Zcash FPGA acceleration engine

📋 A list of open LLMs available for commercial use.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Awesome-LLM: a curated list of Large Language Model

Alternative Twitter front-end

Learn how to design, develop, deploy and iterate on production-grade ML applications.

This repo contains the Hugging Face Deep Reinforcement Learning Course.

Bash Automated Testing System

FauxPilot - an open-source alternative to GitHub Copilot server

🐻 The multi-zone service mesh for containers, Kubernetes and VMs. Built with Envoy. CNCF Sandbox Project.

🎨 Diagram as Code for prototyping cloud system architectures

Advanced python library to scrap Twitter (tweets, users) from unofficial API

Home of CodeT5: Open Code LLMs for Code Understanding and Generation

Kotlin Multiplatform Music Downloader, Supports Spotify / Gaana / Youtube Music / Jio Saavn / SoundCloud.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A multi-voice TTS system trained with an emphasis on quality

A Java implemented Texas holdem and short deck Solver

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

A small package to create visualizations of PyTorch execution graphs

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.