WasedaMagina

WasedaMagina's Stars

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python32.7k2715.7k5k

• haotian-liu/LLaVA

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

  Language:Python20.9k1581.6k2.3k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.8k1111.1k1.7k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.9k98181.1k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  13.3k257128840

• LargeWorldModel/LWM

  Large World Model -- Modeling Text and Video with Millions Context

  Language:Python7.2k6671554

• CompVis/taming-transformers

  Taming Transformers for High-Resolution Image Synthesis

  Language:Jupyter Notebook5.9k752211.2k

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.2k5719491

• InternLM/xtuner

  An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

  Language:Python4.1k36546323

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.7k12510227

• EvolvingLMMs-Lab/lmms-eval

  Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.

  Language:Python2.2k4235178

• baaivision/Emu

  Emu Series: Generative Multimodal Models from BAAI

  Language:Python1.7k228885

• apple/ml-4m

  4M: Massively Multimodal Masked Modeling

  Language:Python1.6k342699

• FoundationVision/LlamaGen

  Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

  Language:Python1.4k216857

• markus-perl/ffmpeg-build-script

  The FFmpeg build script provides an easy way to build a static FFmpeg on OSX and Linux with non-free codecs included.

  Language:Shell1.1k37159335

• tencent-ailab/persona-hub

  Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"

  Language:Python95419965

• luogen1996/LaVIN

  [NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"

  Language:Python51264138

• soCzech/TransNetV2

  TransNet V2: Shot Boundary Detection Neural Network

  Language:Python51294791

• jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning

  A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

  39321425

• mira-space/MiraData

  Official repo for paper "MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions"

  Language:Python375131910

• thuanz123/enhancing-transformers

  An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch

  Language:Python29382135

• IDEA-Research/MotionLLM

  [Arxiv-2024] MotionLLM: Understanding Human Behaviors from Human Motions and Videos

  Language:Python2704139

• ZrrSkywalker/MathVerse

  [ECCV 2024] Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

  Language:Python1567812

• VT-NLP/MultiInstruct

  MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning

  Language:Python135755

• icoz69/StableLLAVA

  Official repo for StableLLAVA

  Language:Python934310

• janghyuncho/DECOLA

  Code release for "Language-conditioned Detection Transformer"

  Language:Python853114

• yuangpeng/dreambench_plus

  Official code implementation of DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation

  Language:Python84101

• longvideobench/LongVideoBench

  [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.

  Language:Python82082

• jihaonew/MM-Instruct

  MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment

  Language:Python31220

• CLUEbenchmark/SuperCLUE-Role

  SuperCLUE-Role中文原生角色扮演测评基准

  24321