Stars
Perform three types of feature extraction: STFT, MFCC and MelSpectrogram. Apply CNN/VGG with or without RNN architecture. Able to achieve 95% accuracy.
Parallel t-SNE implementation with Python and Torch wrappers.
Models and examples built with TensorFlow
کد هایی که تو کانال یوتیوب توضیشون دادم قسمت به قسمت
Detecting faces with the help of haar cascade and emotion detection from facial expressions using CNN
Using N-step dueling DDQN with PER for playing Pacman game
Face Recognition Using Cascade Detectors & Facial Expression Classification Using CNN
Edge-Informed Single Image Super-Resolution, ICCVW 2019 https://arxiv.org/abs/1909.05305
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
PyTorch implementation of Super SloMo by Jiang et al.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Video super resolution implemented in Pytorch
Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
PyTorch implementations of deep reinforcement learning algorithms and environments
Using gulp to compile scss files automatically and create the corresponding packed and minified css file
A torch implementation of "Pixel-Level Domain Transfer"
This project using yolo3 to detection license plate in street
Image Object Localization by ResNet-18 using tensorflow, keras and pytorch
implement of prioritized experience replay
Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.