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NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Development repository for the Triton language and compiler
Jupyter notebooks for the Natural Language Processing with Transformers book
MPI programming lessons in C and executable code examples
Software to support people learning OpenMP with our book ... The OpenMP Common Core: Making OpenMP Simple Again
Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"
A foundation model for knowledge graph reasoning
[TMLR 2024] Efficient Large Language Models: A Survey
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
The quantitative performance comparison among DL compilers on CNN models.
Vision Transformer (ViT) in PyTorch
This repository contains integer operators on GPUs for PyTorch.
Pytorch implementation of cnn network
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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 stan…
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Code implementation from my blog post: https://fkodom.substack.com/p/transformers-from-scratch-in-pytorch
A PyTorch implementation of Transformer in "Attention is All You Need"
Transformer implementation in PyTorch.
Reformer, the efficient Transformer, in Pytorch
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
A preliminary implementation of BrainGNN
Source code and model GALD net (BMVC-2019) and Dual-Seg Net (BMVC-2019)