lbmallory Goto Github PK

awesome-rnn

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

caffe

Caffe

cnn-lstm-caption-generator

A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.

ddpg

Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm

deep-residual-networks

Deep Residual Learning for Image Recognition

deepreplay

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

dncon2

Deep convolutional neural networks for protein contact map prediction

dppi

A convolutional neural network to predict PPI interactions

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

models

Models and examples built with TensorFlow

music-generation-using-deep-learning

A Deep Learning Case Study to Generate Music Sequences using Char RNN, where each RNN is an LSTM unit.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nnpresentationcode

This contains a collection of example code and relevant publications for the presentation.

plotneuralnet

Latex code for making neural networks diagrams

proteinnet

Standardized data set for machine learning of protein structure

pytorch-cheatsheet

Check out improved:

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-cheat-sheet

Reinforcement Learning Cheat Sheet

rgn

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

roi-pooling

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

vision

Datasets, Transforms and Models specific to Computer Vision

workshops

A few exercises for use at events.