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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
☁️ Build multimodal AI applications with cloud-native stack
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Magenta: Music and Art Generation with Machine Intelligence
GPT based autonomous agent that does online comprehensive research on any given topic
Fast and memory-efficient exact attention
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
An educational resource to help anyone learn deep reinforcement learning.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Audio fingerprinting and recognition in Python
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Web interface for browsing, search and filtering recent arxiv submissions
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
😎 A curated list of awesome MLOps tools
Access large language models from the command-line
Video+code lecture on building nanoGPT from scratch
Represent, send, store and search multimodal data
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Real-time video and audio streams over the network, with Streamlit.
A library for mechanistic interpretability of GPT-style language models