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apollo

An open autonomous driving platform

awesome-mlops

A curated list of references for MLOps

coursera-tensorflow

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.ai

deepsparse

Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs

deepstream-yolo

NVIDIA DeepStream SDK 6.1 / 6.0.1 / 6.0 configuration for YOLO models

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

pointpillars_multihead_40fps

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

tensorrt-yolov4

based on CaoWGG/TensorRT-YOLOv4, this branch made few changes to support tensorrt-7.1.0, cuda-10.2 and cudnn-8.0, which runs on a tx2 board with jetpack4.4dp installed.

tensorrt_demos

TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

tmp_files

yolov3_tensorrt_int8_calibration

This repository provides a sample to run yolov3 on int8 mode in tensorRT

yolov5-in-deepstream-5.0

Describe how to use yolov5 in Deepstream 5.0

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

yolov5_for_qat

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite