liyaoshun Goto Github PK

balanced-dataparallel

这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量

caffe-densenet

densenet implementation with caffe--python

caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

cdcl

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving

centernet

Object detection, 3D detection, and pose estimation using center point detection:

crowdcountingpy

人群数量检测（Crowd Counting）

deep-residual-networks

Deep Residual Learning for Image Recognition

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

diary

dlss

NVIDIA DLSS is a new and improved deep learning neural network that boosts frame rates and generates beautiful, sharp images for your games

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

ghm_loss

The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).

inception_v3_googlenet

GoogleNet Inception v3

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

monosdf

[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

nvdiffrec

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

projectsdisplay

本科、研究生阶段所做项目的简单介绍

resnet-imagenet-caffe

train resnet on imagenet from scratch with caffe

tensorflow_anormaly

使用tensorflow构建3D卷积网络来识别场景中的异常事件

tensorrt_demos

Some examples demonstrating how to optimize caffe/tensorflow/darknet models with TensorRT and run real-time inferencing with the optimized TensorRT engines

tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

yolov7_d2

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥