Pinned Repositories
Arnold
Arnold - DOOM Agent
CaffeFeaturesExample
Sample code for classifying images into two categories using Caffe features + SVM.
character-based-cnn
Implementation of character based convolutional neural network
Compositional-Attention-Networks-for-Machine-Reasoning-PyTorch
A PyTorch implementation of Compositional Attention Networks
exemplarsvm
Ensemble of Exemplar-SVMs for Object Detection and Beyond
incremental_learning
Initial Code for the paper "incremental learning through deep adaptation"
pytorch-classification
Classification with PyTorch.
TotallyLooksLike
Accompanying code for the paper: Totally Looks Like - How Humans Compare, Compared to Machines, by Amir Rosenfeld, Markus D. Solbach and John K. Tsotsos
rosenfeldamir's Repositories
rosenfeldamir/incremental_learning
Initial Code for the paper "incremental learning through deep adaptation"
rosenfeldamir/TotallyLooksLike
Accompanying code for the paper: Totally Looks Like - How Humans Compare, Compared to Machines, by Amir Rosenfeld, Markus D. Solbach and John K. Tsotsos
rosenfeldamir/pytorch-classification
Classification with PyTorch.
rosenfeldamir/Arnold
Arnold - DOOM Agent
rosenfeldamir/CaffeFeaturesExample
Sample code for classifying images into two categories using Caffe features + SVM.
rosenfeldamir/character-based-cnn
Implementation of character based convolutional neural network
rosenfeldamir/Compositional-Attention-Networks-for-Machine-Reasoning-PyTorch
A PyTorch implementation of Compositional Attention Networks
rosenfeldamir/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
rosenfeldamir/dynamic-neural-networks
rosenfeldamir/fastdup
FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.
rosenfeldamir/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
rosenfeldamir/iv
minimalist opencv-based image viewer/browser
rosenfeldamir/LegoBrickClassification
Repository to identify Lego bricks automatically only using images
rosenfeldamir/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
rosenfeldamir/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
rosenfeldamir/playing-with-nbdev
rosenfeldamir/pytorch-rl
Deep Reinforcement Learning with pytorch & visdom
rosenfeldamir/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
rosenfeldamir/pytorch-yolo2
Convert https://pjreddie.com/darknet/yolo/ into pytorch
rosenfeldamir/relational-networks
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
rosenfeldamir/residual_adapters
rosenfeldamir/rosenfeldamir.github.io
Personal Website
rosenfeldamir/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
rosenfeldamir/simple_dqn
Simple deep Q-learning agent.
rosenfeldamir/ssd.pytorch-p
A PyTorch Implementation of Single Shot MultiBox Detector
rosenfeldamir/strike-with-a-pose
A simple GUI tool for generating adversarial poses of objects.
rosenfeldamir/sunets
PyTorch Implementation of Stacked U-Nets (SUNets)
rosenfeldamir/texture-vs-shape
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019)
rosenfeldamir/torchvideo
:movie_camera: Datasets, transforms and samplers for video in PyTorch
rosenfeldamir/vision_utils
lightweight utilities for computer-vision projects and other miscellanea