zheng-ningxin

zheng-ningxin's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.9k56171710.2k

• facebookresearch/llama

  Inference code for LLaMA models

  Language:Python50.9k4998728.7k

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python39.5k4483155.1k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.7k1221.2k1.4k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.7k2968493.3k

• git-lfs/git-lfs

  Git extension for versioning large files

  Language:Go13.1k4853.1k2.1k

• alexjc/neural-enhance

  Super Resolution for images using deep learning.

  Language:Python11.9k39801.4k

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python10.9k1668052.4k

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.6k15965830

• nlpxucan/WizardLM

  LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

  Language:Python9.3k113190722

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.5k1001.2k1.4k

• NVIDIA/FasterTransformer

  Transformer related optimization, including BERT, GPT

  Language:C++5.9k63625896

• NVIDIA/cutlass

  CUDA Templates for Linear Algebra Subroutines

  Language:C++5.9k1091.2k1k

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.6k97277641

• bytedance/lightseq

  LightSeq: A High Performance Library for Sequence Processing and Generation

  Language:C++3.2k58287329

• microsoft/torchscale

  Foundation Architecture for (M)LLMs

  Language:Python3k4779211

• microsoft/Cream

  This is a collection of our NAS and Vision Transformer work.

  Language:Python1.7k34170231

• pytorch/torchdynamo

  A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

  Language:Python1k45567124

• facebookresearch/CompilerGym

  Reinforcement learning environments for compiler and program optimization tasks

  Language:Python91734291130

• facebookresearch/LeViT

  LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

  Language:Python605112872

• grimoire/mmdetection-to-tensorrt

  convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

  Language:Python5931410785

• HarukiYqM/Non-Local-Sparse-Attention

  PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).

  Language:Python17533320

• microsoft/SparTA

  Language:Python132101011

• nicolaswilde/cuda-tensorcore-hgemm

  Language:Cuda1175021

• Karbo123/pytorch_grouped_gemm

  High Performance Grouped GEMM in PyTorch

  Language:Cuda23122

• tjyuyao/cutex

  PyCUDA based PyTorch Extension Made Easy

  Language:Python20111

• microsoft/Carbon-Insight

  A platform to display the carbon neutralization information for researchers, decision-makers, and other participants in the community.

  Language:Jupyter Notebook17604

• zheng-ningxin/Pruning-from-scratch

  Language:Python17313

• sjtu-epcc/Laius

  The source code of the paper"Laius: Towards Latency Awareness and Improved Utilization of Spatial Multitasking Accelerators in Datacenters" in ICS 2019.

  Language:C++8411

• andygongyb/SparseTrain

  SparseTrain: Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors

  Language:C++6201