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frederick's Projects

char-rnn-tensorflow icon char-rnn-tensorflow

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

cheatsheets icon cheatsheets

A selection of printable, one-page cheatsheets, generated from Markdown using Pandoc & LaTeX

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

colorization icon colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

conv_arithmetic icon conv_arithmetic

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

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dancenet icon dancenet

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-papers icon deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

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