Segment Anything

📝We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation.https://github.com/facebookresearch/segment-anything

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

📝In this paper, we address this challenge, and propose GPTQ, a new one-shot weight quantization method based on approximate second-order information, that is both highly-accurate and highly-efficient.https://github.com/thudm/chatglm-6b

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation📝We present SadTalker, which generates 3D motion coefficients (head pose, expression) of the 3DMM from audio and implicitly modulates a novel 3D-aware face render for talking head generation.https://github.com/winfredy/sadtalker

Segment Everything Everywhere All at Once

📝https://github.com/ux-decoder/segment-everything-everywhere-all-at-once

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

📝https://github.com/thudm/imagereward

Self-Instruct: Aligning Language Model with Self Generated Instructions

📝https://github.com/databrickslabs/dolly

CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society

📝https://github.com/lightaime/camel

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

📝https://github.com/microsoft/agieval

A Method for Animating Children's Drawings of the Human Figure

📝https://github.com/facebookresearch/AnimatedDrawings

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

📝https://github.com/laion-ai/open-assistant

HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

📝https://github.com/scir-hi/huatuo-llama-med-chinese

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text

📝https://github.com/allenai/mmc4

Inpaint Anything: Segment Anything Meets Image Inpainting

📝https://github.com/geekyutao/inpaint-anything

Tool Learning with Foundation Models

📝https://github.com/openbmb/bmtools

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

📝https://github.com/lupantech/chameleon-llm

DINOv2: Learning Robust Visual Features without Supervision

📝https://github.com/facebookresearch/dinov2

Transformer-Based Visual Segmentation: A Survey

📝https://github.com/lxtgh/awesome-segmenation-with-transformer

Phoenix: Democratizing ChatGPT across Languages

📝https://github.com/freedomintelligence/llmzoo

Anything-3D: Towards Single-view Anything Reconstruction in the Wild

📝https://github.com/anything-of-anything/anything-3d

Segment Anything in Medical Images

📝https://github.com/bowang-lab/medsam

Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System

📝https://github.com/wbbeyourself/scm4llms

Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

📝https://github.com/booydar/t5-experiments