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automl

Google Brain AutoML

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

cnn-benchmarks

Benchmarks for popular CNN models

contrastive-deep-supervision

Codes for ECCV2022 paper - contrastive deep supervision

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

cudacasts

Source code from NVIDIA CUDACasts

cudnn-training

A CUDNN minimal deep learning training code sample using LeNet.

darknet

Convolutional Neural Networks

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

diffusion-mu-attack

The official implementation of the paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now". This work introduces one fast and efficient attack methods to generate toxic content for safety-driven diffusion models.

elr-wacv2018

A PyTorch Implementation of Extremely Low Resolution Action Recognition

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

prml

PRML algorithms implemented in Python

pytorch-cifar

95.16% on CIFAR10 with PyTorch

rdma-core

RDMA core userspace libraries and daemons

simple-implementation-of-ml-algorithms

My simplest implementations of common ML algorithms

sparkandmpifactorizations

implementations of CX, PCA, and NMF factorizations in Spark and MPI

svmvb

CUDA kernel code of Sauvola's algorithm

the-geek-in-the-corner

Sample code from thegeekinthecorner.com

tiramisu

A polyhedral compiler for expressing fast and portable data parallel algorithms

wkd-datasets

This repository provides the dataset used in our cvpr2022 paper - wavelet knowledge distillation

xinchenhawaii.github.io