yiweichen04 Goto Github PK

better-flow

Motion compensation for event-based cameras using gradient of timestamps

bolt

10x faster matrix and vector operations.

book

:green_book:我的个人书籍学习和收藏

brevitas

Brevitas: quantization-aware training in PyTorch

bringing-a-blurry-frame-alive-at-high-frame-rate-with-an-event-camera

code, data and result

caffe-data-layers

Data Layers for Caffe

caffe-deconvnet

A deconvolutional network in caffe

caffe-facialkp

Facial keypoints extraction using Caffe

caffe-lmdbcreation-multilabel

Creation of LMDB for training a multi-label loss in Caffe

caffe-regression

caffe-regression examples ,kaggle face keypoint detection

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

cdfi

Code of paper "CDFI: Compression-Driven Network Design for Frame Interpolation", CVPR 2021

celex5-mipi

SDK for CeleX5 sensor on CX3 platform.

ckconv

Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" https://arxiv.org/abs/2102.02611

cleverhans

A library for benchmarking vulnerability to adversarial examples

cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

cnn-quantization

Quantization of Convolutional Neural networks.

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cnn_graph.pytorch

A PyTorch implementation of paper "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

common-voice-forced-alignments

Forced Alignments for Common Voice

compactcnn

PyTorch and Keras implementation of CompactCNN for Anomaly Detection in textured surfaces.

content_producer

conv_arithmetic

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

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

convnet.pytorch

ConvNet training using pytorch

cpp-playground

craft

Codes for CVPR2016 paper "CRAFT Objects from Images"

craftgbd

code for CUImage and CUVideo

cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

cs231n

Working through CS231n: Convolutional Neural Networks for Visual Recognition