A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

OSS AI Companion Chatbot - Build your own AI companion in Python using ChatGPT.

Convert any PDF into a podcast episode!

Drop-in replacement for Requests. Automatic HTTP/1.1, HTTP/2, and HTTP/3. WebSocket, and SSE included.

Command-line program to download various media from YouTube.com and other sites

python implementation of the parquet columnar file format.

Better SQL in Jupyter. 📊

🐚 OpenDevin: Code Less, Make More

Export your Signal chats to markdown files with attachments

MiniCPM on Android platform.

Ongoing research training transformer models at scale

Use rmate with Sublime Text, an improved fork of rsub.

LLaMa retrieval plugin script using OpenAI's retrieval plugin

Python Backtesting library for trading strategies

Parse natural language time and date expressions in python

Geppetto: Advanced bot using multiple AI models for interactive conversations and creative image generation. Enhances Slack with automated responses and intelligent dialogues, supporting flexible m…

Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.

Documentation about how to write and maintain a Django reusable app.

Quickly visualize docker networks with graphviz.

Speech To Speech: an effort for an open-sourced and modular GPT4-o

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

Programming language where you can code using emojis 😌

Fast Segment Anything

Run macOS on QEMU/KVM with pre installed Monterey

The Python programming language

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A general-purpose encoder-decoder framework for Tensorflow

Towards Understanding Deep Learning Representations via Interactive Experimentation