Kareemibrahimm

Kareemibrahimm's Stars

• vllm-project/vllm

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

  Language:Python32k4.9k

• securefederatedai/openfl

  An Open Framework for Federated Learning.

  Language:Jupyter Notebook738208

• adamrt27/tANS_py

  Tabled Asymmetric Numeral Systems Python Package

  Language:Python1

• Bruce-Lee-LY/cuda_hgemm

  Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.

  Language:Cuda31668

• microsoft/BitNet

  Official inference framework for 1-bit LLMs

  Language:C++12.3k861

• pdaicode/awesome-dynamic-NeRF

  A curated list of awesome neural radiance fields for dynamic scenes

  Language:Jupyter Notebook401

• InternLandMark/FlashGS

  Language:C++996

• Macaronlin/LLaMA3-Quantization

  A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..

  Language:Python1718

• ModelTC/llmc

  [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit".

  Language:Python35638

• mwlon/pcodec

  Lossless codec for numerical data

  Language:Rust31919

• bjlkeng/sandbox

  Play time!

  Language:Jupyter Notebook19671

• alipay/Finite_State_Autoregressive_Entropy_Coding

  Language:Python71

• iiSeymour/python-fse

  Python binding for Finite State Entropy

  Language:Python6

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  Language:Python6.4k387

• GarethCa/Py-tANS

  A Python Implementation of the tabled Asymmetric Numeral Systems compression method.

  Language:Jupyter Notebook237

• Cyan4973/FiniteStateEntropy

  New generation entropy codecs : Finite State Entropy and Huff0

  Language:C1.3k145

• NVIDIA/nvcomp

  Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.

  Language:C++56378

• facebookresearch/dietgpu

  GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.

  Language:Cuda31827

• ShenhanQian/GaussianAvatars

  [CVPR 2024 Highlight] The official repo for "GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians"

  Language:Python62994

• khan9048/Facial_depth_estimation

  A Large-scale High-Quality Synthetic Facial depth Dataset and Detailed deep learning-based monocular depth estimation from a single input image.

  Language:Python659

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.6k2.5k

• SqueezeAILab/SqueezeLLM

  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

  Language:Python66143

• Vahe1994/SpQR

  Language:Python53143

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.4k8.1k

• nishiwen1214/ChatReviewer

  ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议

  Language:Python1.3k116

• ahmetbersoz/chatgpt-prompts-for-academic-writing

  This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

  3.4k300

• MaximeVandegar/Papers-in-100-Lines-of-Code

  Implementation of papers in 100 lines of code.

  Language:Python1.3k146

• rlczddl/awesome-3d-human-reconstruction

  86890

• stochasticai/xTuring

  Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

  Language:Python2.6k207

• IST-DASLab/gptq

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

  Language:Python2k156