iqbal-chowdhury Goto Github PK

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster-rcnn_tf

Faster-RCNN in Tensorflow

final-cloud-app-with-database

Final Project for Cloud App Development Course

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

fold

Deep learning with dynamic computation graphs in TensorFlow

from-caption-to-visual-concepts-and-back

fvta_memoryqa

gae

Implementation of Graph Auto-Encoders in TensorFlow

gcn

Implementation of Graph Convolutional Networks in TensorFlow

genegan

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

generative-adversial

image generation via GANs

generative-model-for-image-generation

Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN).

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gluon-tutorials

gran

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

hart

Hierarchical Attentive Recurrent Tracking

hart-pytorch

Reimplementation of Hierarchical Attentive Recurrent Tracking (Kosiorek et al., 2017) in PyTorch

hiecoattenvqa

house3d

a Realistic and Rich 3D Environment

how-to-learn-from-little-data

This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube

how_to_convert_text_to_images

This is the code for "How to Convert Text to Images - Intro to Deep Learning #16' by Siraj Raval on YouTube

how_to_generate_video

This is the code for "How to Generate Video - Intro to Deep Learning #15' by Siraj Raval on YouTube

icgan

Invertible conditional GANs for image editing

iclr2017mcnet

icml2016

Generative Adversarial Text-to-Image Synthesis

igan

Interactive Image Generation via Generative Adversarial Networks

image-captioning-with-semantic-attention

imageqa-public

Code for paper "Exploring Models and Data for Image Question Answering"