Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

[NeurIPS 2023 D&B] VidChapters-7M: Video Chapters at Scale

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

The official Python library for the OpenAI API

LLM101n: Let's build a Storyteller

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

[arXiv 2023] Set-of-Mark Prompting for GPT-4V and LMMs

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Code for Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Instruction Tuning with GPT-4

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

Open-Set Grounded Text-to-Image Generation

A playbook for systematically maximizing the performance of deep learning models.

[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

A compilation of network architectures for vision and others without usage of self-attention mechanism

Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"

[NeurIPS 2022] code for "K-LITE: Learning Transferable Visual Models with External Knowledge" https://arxiv.org/abs/2204.09222

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Toolkit for Elevater Benchmark

This is a offical PyTorch/GPU implementation of SupMAE.

[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"