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adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

aitemplate-study

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

awesome-deep-learning-papers

The most cited deep learning papers

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

brecq_sudy

Study of Pytorch implementation of BRECQ, ICLR 2021

caffe_from_scratch

cifar10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

cnn-exposed

Interpreting Convolutional Neural Network (CNN) Results.

conferencesstastics

The stastics information of top conference realted to information area including AI, ML, CV, etc

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

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

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

efficient-hetconv-heterogeneous-kernel-based-convolutions

Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

electron-ssr-backup

electron-ssr原作者删除了这个伟大的项目，故备份了下来，不继续开发,且用且珍惜

gnnpapers

Must-read papers on graph neural networks (GNN)

hawq_study

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

imgaug

Image augmentation for machine learning experiments.

medgan

Generative adversarial network for generating electronic health records.

micronetchallenge

mmdetection

Open MMLab Detection Toolbox and Benchmark

nn-from-scratch

Implementing a Neural Network from Scratch

oscillations-qat-study

overhaul-distillation

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

programming-collective-intelligence

Examples from Programming Collective Intelligence

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more