adminasmi

adminasmi's Stars

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.8k965

• github/gitignore

  A collection of useful .gitignore templates

  162k83.1k

• swordlidev/Efficient-Multimodal-LLMs-Survey

  Efficient Multimodal Large Language Models: A Survey

  26411

• Atomic-man007/Awesome_Multimodel_LLM

  Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

  26117

• qwopqwop200/GPTQ-for-LLaMa

  4 bits quantization of LLaMA using GPTQ

  Language:Python3k459

• chenzomi12/AISystem

  AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

  Language:Jupyter Notebook10.9k1.6k

• tongdaxu/YAECL-Yet-Another-Entropy-Coding-Library

  YAECL: Yet Another Entropy Coding Library for Neural Compression Research, with Arithmetic Coding and Asymmetric Numeral Systems support

  Language:C++335

• nayuki/Reference-arithmetic-coding

  Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.

  Language:Java368105

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.8k3k

• 0voice/linux_kernel_wiki

  linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频

  5.8k1.7k

• google-deepmind/language_modeling_is_compression

  Language:Python9513

• zhshi0816/Video-Frame-Interpolation-Transformer

  Language:Python9714

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML112k15.3k

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10k822

• coulsonlee/STDO-CVPR2023

  [CVPR2023] Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

  Language:Python825

• sniklaus/sepconv-slomo

  an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

  Language:Python1k170

• facebook/zstd

  Zstandard - Fast real-time compression algorithm

  Language:C23.6k2.1k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.8k2k

• SwinTransformer/Video-Swin-Transformer

  This is an official implementation for "Video Swin Transformers".

  Language:Python1.4k198

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.6k676

• llmpass/RSTT

  Official pytorch implementation of paper "RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution"

  Language:Jupyter Notebook12121

• lucasjinreal/DCNv2_latest

  DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

  Language:C++629124

• vllm-project/vllm

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

  Language:Python29k4.3k

• tiingweii-shii/Awesome-Resource-Efficient-LLM-Papers

  a curated list of high-quality papers on resource-efficient LLMs 🌱

  765

• FMInference/FlexiGen

  Running large language models on a single GPU for throughput-oriented scenarios.

  Language:Python9.2k548

• ofsoundof/NTIRE2022_ESR

  Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution

  Language:Python12124

• ltkong218/IFRNet

  IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (CVPR 2022)

  Language:Python27023

• tangingw/libx265_installer

  This is ffmpeg installer that contains libx265 and AAC

  Language:Shell177

• swz30/MIRNetv2

  [TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

  Language:Python41356

• pavancm/GREED

  Official implementation for "ST-GREED: Space-Time Generalized EntropicDifferences for Frame Rate Dependent VideoQuality"

  Language:Python1410