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448project

High Frequency Trading

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

caffe

Caffe: a fast open framework for deep learning.

caffe-model

Python script to generate prototxt on Caffe, specially the inception_v3 \ inception_v4 \ inception_resnet \ fractalnet

caffe-tensorflow

Caffe models in TensorFlow

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

ccnn

Framework for optimizing CNNs with linear constraints.

cnn_finetune

Fine-tune CNN in Keras

coherent-point-drift-python

This project using python to implement the Coherent Point Drift algorithm

conv_arithmetic

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

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

ctc-executioner

Master Thesis: Limit order placement with Reinforcement Learning

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-survey-text-classification

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

deep-visualization-toolbox

DeepVis Toolbox

deepar

Tensorflow implementation of Amazon DeepAR

deeplab-context

deeplab-v2

DeepLab v2 support cudnn-v5

deeplearningsandbox

Blog related code for

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dl_toolbox

for nv server

docker-cheat-sheet

Docker Cheat Sheet

draw_convnet

focal-loss-keras

Binary and Categorical Focal loss implementation in Keras.