yaoshun li's repositories

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Tensorflow_Anormaly

使用tensorflow构建3D卷积网络来识别场景中的异常事件

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ProjectsDisplay

本科、研究生阶段所做项目的简单介绍

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

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CrowdCountingPY

人群数量检测(Crowd Counting)

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ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

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tensorrt_demos

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

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caffe-densenet

densenet implementation with caffe--python

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caffe-yolov3

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

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CDCL

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving

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CenterNet

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

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deep-residual-networks

Deep Residual Learning for Image Recognition

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DenseNetCaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

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DLSS

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

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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).

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Inception_v3_GoogLeNet

GoogleNet Inception v3

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kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

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monosdf

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

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nvdiffrec

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

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resnet-imagenet-caffe

train resnet on imagenet from scratch with caffe

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tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

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yolov7_d2

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

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