Stars
Official code and dataset for our NAACL 2024 paper: DialogCC: An Automated Pipeline for Creating High-Quality Multi-modal Dialogue Datasets Resources
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
A reverse engineered Python API wrapper for the Vercel AI Playground, which provides free access to many large language models without needing an account.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Official Pytorch implementation of "Graphit: A Unified Framework for Diverse Image Editing Tasks"
LAVIS - A One-stop Library for Language-Vision Intelligence
COYO-700M: Large-scale Image-Text Pair Dataset
Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022
A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
Probing the representations of Vision Transformers.
📺 Discover the latest machine learning / AI courses on YouTube.
Official PyTorch implementation of "Large-scale Bilingual Language-Image Contrastive Learning" (ICLRW 2022)
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Examples of how to create colorful, annotated equations in Latex using Tikz.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs
Process Common Crawl data with Python and Spark
A concise but complete implementation of CLIP with various experimental improvements from recent papers
Hackable and optimized Transformers building blocks, supporting a composable construction.
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Vector (and Scalar) Quantization, in Pytorch
A curated list of awesome self-supervised methods