muik

langchain

🦜🔗 Build context-aware reasoning applications

fzf

:cherry_blossom: A command-line fuzzy finder

llama

Inference code for LLaMA models

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

milvus

A cloud-native vector database, storage for next generation AI applications

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

llama2.c

Inference Llama 2 in one file of pure C

gpt4-pdf-chatbot-langchain

GPT4 & LangChain Chatbot for large PDF docs

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

super-linter

Combination of multiple linters to run as a GitHub Action or standalone

sygil-webui

Stable Diffusion web UI

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

gin-config

Gin provides a lightweight configuration framework for Python

recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

dotfiles

~anish • powered by https://github.com/anishathalye/dotbot 💾

GraphSAINT

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

IGMC

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

assembled-cnn

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

self_supervised

Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

has-changed-path

GitHub Action that saves time and money in monorepo environments

miniWebRTC

smallest webRTC engine

pbg-helper

This is a helper for PyTorch-BigGraph

CLIP