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awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-torch icon awesome-torch

A curated list of awesome Torch tutorials, projects and communities

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic-yolo-keras icon basic-yolo-keras

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

bootstrap-fileinput icon bootstrap-fileinput

An enhanced HTML 5 file input for Bootstrap 3.x with file preview, multiple selection, and more features.

capsule_networks icon capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

char-rnn-tensorflow icon char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

closed-form-matting icon closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

cnnmrf icon cnnmrf

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

codecombat icon codecombat

Multiplayer programming game for learning how to code.

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coordconv-pytorch icon coordconv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

cppn-gan-vae-tensorflow icon cppn-gan-vae-tensorflow

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

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