This is a repository containing the list of company wise questions available on leetcode premium

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Image restoration with neural networks but without learning.

Code for the paper "Improved Techniques for Training GANs"

A list of papers on Generative Adversarial (Neural) Networks

Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Visual Q&A reading list

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Python library for extracting mini-batches of data from a data source for the purpose of training neural networks

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy https://visdom.dev

A course in reinforcement learning in the wild

Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016

An intuitive library to add plotting functionality to scikit-learn objects.

Awesome paper list with code about generative adversarial nets

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Simple, realtime visualization of neural network training performance.

Run Keras models in the browser, with GPU support using WebGL

Fully differentiable deep-neural decision forest in tensorflow

Implementation of Deep Neural Decision Forest based on MSR paper

The Open Images dataset

Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

An Open Source Machine Learning Framework for Everyone

Simple benchmark of deep learning frameworks on VGG-16

Code for Kaggle Competitions

Introduction to Deep Neural Networks with Keras and Tensorflow

Keras code and weights files for popular deep learning models.

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.

Deep learning tutorials (2nd ed.)