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Starred repositories
A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
Official repo for paper "MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions"
Typer, build great CLIs. Easy to code. Based on Python type hints.
CLIP+MLP Aesthetic Score Predictor
Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch
알록달록 봄 느낌이 물씬 나는 모바일 청첩장입니다.
Implementation of Alphafold 3 in Pytorch
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models
ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering
Chronon is a data platform for serving for AI/ML applications.
LPIPS metric. pip install lpips
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research
An efficient video loader for deep learning with smart shuffling that's super easy to digest
A library for real-time video stream decoding to CUDA memory
This repo includes Claude prompt curation to use Claude better.
The Universe of Data. All about data, data science, and data engineering
✨ Hotshot-XL: State-of-the-art AI text-to-GIF model trained to work alongside Stable Diffusion XL
Model parallelism for NN architectures with skip connections (eg. ResNets, UNets)
A natural language interface for computers
[CVPR 2024] CoSeR: Bridging Image and Language for Cognitive Super-Resolution
DALL·E Mini - Generate images from a text prompt
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
A Data Streaming Library for Efficient Neural Network Training