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PyTorch Tutorial for Deep Learning Researchers
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Free (as in freedom) open source clone of the Age of Empires II engine 🚀
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
A flexible framework of neural networks for deep learning
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
StarGAN - Official PyTorch Implementation (CVPR 2018)
Generate image analogies using neural matching and blending.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Using neural networks to build an automatic number plate recognition system
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
Simple, modern and fast file watching and code reload in python.
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same…
Pytorch implementation of FlowNet by Dosovitskiy et al.
Implementation of Super Resolution CNN in Keras.
Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
Selective Search Implementation for Python
Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"
Watch classic spongebob from the terminal! 🎥🧽
Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)