Amirhossein Hassankhani (amirhossein-hkh)

amirhossein-hkh

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Location:Tampere, Finland

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Amirhossein Hassankhani's starred repositories

vimrc

The ultimate Vim configuration (vimrc)

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NYU-DLSP20

NYU Deep Learning Spring 2020

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Music-Genre-Classification

Perform three types of feature extraction: STFT, MFCC and MelSpectrogram. Apply CNN/VGG with or without RNN architecture. Able to achieve 95% accuracy.

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Multicore-TSNE

Parallel t-SNE implementation with Python and Torch wrappers.

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models

Models and examples built with TensorFlow

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Neural-Network-From-Bikh-and-Bon

کد هایی که تو کانال یوتیوب توضیشون دادم قسمت به قسمت

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Emotion-Detection-From-Facial-Expressions-Using-CNN

Detecting faces with the help of haar cascade and emotion detection from facial expressions using CNN

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N-step-Dueling-DDQN-PER-Pacman

Using N-step dueling DDQN with PER for playing Pacman game

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face-detection-facial-expression-recognition

Face Recognition Using Cascade Detectors & Facial Expression Classification Using CNN

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edge-informed-sisr

Edge-Informed Single Image Super-Resolution, ICCVW 2019 https://arxiv.org/abs/1909.05305

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NatSR

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

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spynet

Spatial Pyramid Network for Optical Flow

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matrix_multiply

Matrix Multiply in VHDL

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Super-SloMo

PyTorch implementation of Super SloMo by Jiang et al.

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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DPSR

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

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VideoSuperResolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

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video-super-resolution

Video super resolution implemented in Pytorch

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SPMC_VideoSR

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

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image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

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License-Plate-Detector

基于Yolov5车牌检测,更快更准.

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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scss-gulp

Using gulp to compile scss files automatically and create the corresponding packed and minified css file

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PixelDTGAN

A torch implementation of "Pixel-Level Domain Transfer"

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License-plate-detection

This project using yolo3 to detection license plate in street

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Object-Localization

localizing objects in images

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Image-Object-Localization

Image Object Localization by ResNet-18 using tensorflow, keras and pytorch

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prioritized-experience-replay

implement of prioritized experience replay

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D4PG

Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.

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