lsy105

lsy105's Stars

• OniroAI/MonoDepth-PyTorch

  Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

  Language:Python544126

• mrharicot/monodepth

  Unsupervised single image depth prediction with CNNs

  Language:Python2.2k631

• LitLeo/TensorRT_Tutorial

  Language:C++979183

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.4k2.4k

• JunjH/Revisiting_Single_Depth_Estimation

  official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"

  Language:Python37692

• facebookresearch/kill-the-bits

  Code for: "And the bit goes down: Revisiting the quantization of neural networks"

  Language:Python636124

• ZQPei/deep_sort_pytorch

  MOT using deepsort and yolov3 with pytorch

  Language:Python2.8k723

• nwojke/deep_sort

  Simple Online Realtime Tracking with a Deep Association Metric

  Language:Python5.3k1.5k

• abewley/sort

  Simple, online, and realtime tracking of multiple objects in a video sequence.

  Language:Python3.9k1.1k

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.4k2.2k

• microsoft/human-pose-estimation.pytorch

  The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

  Language:Python2.9k604

• xingyizhou/CenterNet

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

  Language:Python7.3k1.9k

• ifzhang/FairMOT

  [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

  Language:Python4k936

• giuseppepastore10/STRICT

  Official code for the paper: "A Closer Look at Self-training for Zero-Label Semantic Segmentation" https://arxiv.org/abs/2104.11692

  Language:Python245

• xuwd11/cs131_hws

  My solution to assignments in Stanford CS131 Computer Vision: Foundations and Applications (Fall 2018)

  Language:Jupyter Notebook3321

• StanfordVL/cs131_notes

  Class notes for CS 131.

  Language:TeX740379

• Hugstar/Solutions-Stanford-cs131-Computer-Vision-Foundations-and-Application

  Full solutions for fall1617 iteration of Stanford course CS131: Computer Vision Foundations and Applications

  Language:Jupyter Notebook7121

• ZacBi/CS224n-2019-solutions

  Complete solutions for Stanford CS224n, winter, 2019

  Language:Python545227

• TDeVries/enas_pytorch

  PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"

  Language:Python5221

• nengo/nengo

  A Python library for creating and simulating large-scale brain models

  Language:Python821176

• yhhhli/APoT_Quantization

  PyTorch implementation for the APoT quantization (ICLR 2020)

  Language:Python26551

• sovrasov/flops-counter.pytorch

  Flops counter for convolutional networks in pytorch framework

  Language:Python2.8k308

• sagartesla/flops-cnn

  Calculate Flops for CNN

  Language:Python388

• miladmozafari/SpykeTorch

  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

  Language:Jupyter Notebook374100

• mrbungie/some-investment-books

  92

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14k2.3k

• google-research/nasbench

  NASBench: A Neural Architecture Search Dataset and Benchmark

  Language:Python681129

• oshears/BindsNET-Self-Documentation

  Documentation created while learning BindsNET SNN Framework

  Language:Jupyter Notebook71

• huiscliu/Tutorials

  Parallel programming tutorials

  Language:C600205

• A-suozhang/awesome-quantization-and-fixed-point-training

  Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

  15724