sgmath12

sgmath12's Stars

• ageitgey/face_recognition

  The world's simplest facial recognition api for Python and the command line

  Language:Python54k1.6k1.4k13.5k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.9k3179514.8k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.5k1552703.2k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.7k2211584.1k

• Cadene/pretrained-models.pytorch

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

  Language:Python9.1k2141811.8k

• timesler/facenet-pytorch

  Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

  Language:Python4.7k55185964

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.4k841101.2k

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.3k13129306

• meetps/pytorch-semseg

  Semantic Segmentation Architectures Implemented in PyTorch

  Language:Python3.4k106222792

• bethgelab/foolbox

  A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

  Language:Python2.8k47371428

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python2k19149356

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Language:Python1.6k45273292

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook9231983181

• aimagelab/mammoth

  An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

  Language:Python6101439113

• Cadene/tensorflow-model-zoo.torch

  InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

  Language:Python291161188

• mjkwon2021/CAT-Net

  Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.

  Language:Python23945328

• carlini/nn_breaking_detection

  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."

  Language:Python859026

• MIT-AI-Accelerator/neurips-2020-sevir

  Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"

  Language:Jupyter Notebook8111622

• bymavis/CAS_ICLR2021

  Language:Python57148

• sgmath12/efficient-decision-based-black-box-adversarial-attacks-on-face-recognition

  Language:Python30235

• BardOfCodes/adv_summaries

  Short Summaries for papers in Adversarial Attacks and Defenses. Linked to a related blog post:

  28101

• ardapekis/pixel-rnn

  Implementation based on the 2016 Pixel-RNN Paper

  Language:Python3200

• ksos104/Nowcasting

  Language:Python2200