zjjzby

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

awesome-english-ebooks

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

triton

Development repository for the Triton language and compiler

TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

mpitutorial

MPI programming lessons in C and executable code examples

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

PyTorch-Networks

Pytorch implementation of cnn network

Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey

PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

Awesome-Language-Model-on-Graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey"

transformers

transformer-pytorch

Transformer implementation in PyTorch.

ULTRA

A foundation model for knowledge graph reasoning

GALD-DGCNet

Source code and model GALD net (BMVC-2019) and Dual-Seg Net (BMVC-2019)

ramulator2

Ramulator 2.0 is a modern, modular, extensible, and fast cycle-accurate DRAM simulator. It provides support for agile implementation and evaluation of new memory system designs (e.g., new DRAM standards, emerging RowHammer mitigation techniques). Described in our paper https://people.inf.ethz.ch/omutlu/pub/Ramulator2_arxiv23.pdf

GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

AutoSA

AutoSA: Polyhedral-Based Systolic Array Compiler

notebooks

torch-int

This repository contains integer operators on GPUs for PyTorch.

BrainGNN_Pytorch

A preliminary implementation of BrainGNN

transformer-pytorch

A PyTorch implementation of Transformer in "Attention is All You Need"

transformer-from-scratch

Code implementation from my blog post: https://fkodom.substack.com/p/transformers-from-scratch-in-pytorch

dlcompiler-comparison

The quantitative performance comparison among DL compilers on CNN models.

OmpCommonCore

Software to support people learning OpenMP with our book ... The OpenMP Common Core: Making OpenMP Simple Again

IBGNN

MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

sparsetir-artifact

Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"