MaxPolak97

MaxPolak97's Stars

• kelvins/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  Language:Python4k560

• pyladiesams/conformal-prediction-jan2024

  An introduction to conformal prediction

  Language:Jupyter Notebook162

• lucidrains/lion-pytorch

  🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

  Language:Python2k49

• roboflow/notebooks

  Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

  Language:Jupyter Notebook5.1k792

• PAIR-code/saliency

  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

  Language:Jupyter Notebook950191

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1.5k

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.8k234

• aenglebert/polycam

  High resolution XAI method for convolutional neural networks

  Language:Python192

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.2k1.5k

• understandable-machine-intelligence-lab/Quantus

  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

  Language:Jupyter Notebook52574

• yulongwang12/visual-attribution

  Pytorch Implementation of recent visual attribution methods for model interpretability

  Language:Jupyter Notebook14426

• greentfrapp/lucent

  Lucid library adapted for PyTorch

  Language:Python60288

• JalaliLabUCLA/phycv

  PhyCV: The First Physics-inspired Computer Vision Library

  Language:Python48531

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k250

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2k203

• siyuandong16/Incipient_slip_detection_with_GelSlim_sensor

  Detect incipient slip & slip with GelSlim tactile sensor

  Language:Python142

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  20.7k4.2k

• 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:Python31.5k4.7k

• mgrankin/over9000

  Over9000 optimizer

  Language:Jupyter Notebook42457

• lessw2020/Ranger21

  Ranger deep learning optimizer rewrite to use newest components

  Language:Python32245