mugua1020

mugua1020's Stars

• cornell-zhang/allo

  Allo: A Programming Model for Composable Accelerator Design

  Language:Python18331

• vllm-project/vllm

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

  Language:Python34.5k5.3k

• Aaronhuang-778/BiLLM

  (ICML 2024) BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

  Language:Python20714

• jofrfu/tinyTPU

  Implementation of a Tensor Processing Unit for embedded systems and the IoT.

  Language:VHDL41262

• PKU-YuanGroup/LanguageBind

  【ICLR 2024🔥】 Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

  Language:Python77254

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

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

  13.6k871

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda25.1k2.9k

• AIoT-MLSys-Lab/Efficient-LLMs-Survey

  [TMLR 2024] Efficient Large Language Models: A Survey

  1.1k89

• PolyArch/dsa-framework

  Release of stream-specialization software/hardware stack.

  Language:Python12024

• Jerc007/Open-GPGPU-FlexGrip-

  FlexGripPlus: an open-source GPU model for reliability evaluation and micro architectural simulation

  Language:VHDL8818

• mbzuai-oryx/groundingLMM

  [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

  Language:Python81541

• htqin/BiBench

  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

  Language:Python534

• TadejMurovic/BNN_Deployment

  Part of paper: Massively Parallel Combinational Binary Neural Networks for Edge Processing

  Language:MATLAB111

• facebookresearch/Ternary_Binary_Transformer

  ACL 2023

  Language:Python38

• Phuoc-Hoan-Le/BinaryViT

  BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models

  Language:Python335

• IST-DASLab/gptq

  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

  Language:Python2k163

• liltom-eth/llama2-webui

  Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.

  Language:Jupyter Notebook2k203

• qwopqwop200/GPTQ-for-LLaMa

  4 bits quantization of LLaMA using GPTQ

  Language:Python3k460

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.3k9.7k

• JCruan519/EGE-UNet

  (MICCAI23) This is the official code repository for "EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation".

  Language:Python25723

• huawei-noah/Efficient-Computing

  Efficient computing methods developed by Huawei Noah's Ark Lab

  Language:Jupyter Notebook1.2k212

• awai54st/Logic-Shrinkage

  224

• cornell-zhang/bnn-fpga

  Binarized Convolutional Neural Networks on Software-Programmable FPGAs

  Language:C304112

• cornell-zhang/FracBNN

  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

  Language:Python8921

• bywmm/Bi-GCN

  Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.

  Language:Python243

• Xilinx/finn

  Dataflow compiler for QNN inference on FPGAs

  Language:Python777247

• facebookresearch/bit

  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer

  Language:Python10312

• IMRL/GSB-Vision-Transformer

  Language:Python51

• huawei-noah/Pretrained-Language-Model

  Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

  Language:Python3k629

• htqin/BiBERT

  This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

  Language:Python867