sun-lingyu

accel-sim-framework

This is the top-level repository for the Accel-Sim framework.

whisper-onnx-tensorrt

ONNX and TensorRT implementation of Whisper

mmdeploy

OpenMMLab Model Deployment Framework

pillar-od

FastMOT

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

bevdet-tensorrt-cpp

BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin

erdos

Dataflow system for building self-driving car and robotics applications.

transformer-deploy

Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

bitsandbytes_jetsonX

8-bit CUDA functions for PyTorch, modified to build on Jetson Xavier

parallelformers

Parallelformers: An Efficient Model Parallelization Toolkit for Deployment

coconet

Deep-Learning-Accelerator-SW

NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.

BEVDet

Official code base of the BEVDet series .

PCCS

Lidar_AI_Solution

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

edgebench

Benchmark for Edge Computing Platforms

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

ChatReviewer

ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议

bert_nli

A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

BEVFormer_tensorrt

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

Birds-eye-view-Perception

[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

Integrate-NVDLA-and-TVM

esp

Embedded Scalable Platforms: Heterogeneous SoC architecture and IP integration made easy

SJTUThesis

上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template

NodeFormer

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

NSGA-II

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

DMOES

Multi-Objective Evolution Strategy for Dynamic Multi-objective Optimization

yolo-tensorrt

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

hdl_localization

Real-time 3D localization using a (velodyne) 3D LIDAR

ndt_omp

Multi-threaded and SSE friendly NDT algorithm