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Mohendra's Projects

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

altair icon altair

Declarative statistical visualization library for Python

bookbook icon bookbook

Tools to use a collection of notebooks as 'chapters'

caffe icon caffe

Caffe: a fast open framework for deep learning.

cntk icon cntk

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

convnetjs icon convnetjs

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

cv icon cv

CV of Mohendra Roy

decaf-release icon decaf-release

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

deep-learning-book icon deep-learning-book

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

deeplearning4j icon deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

digits icon digits

Deep Learning GPU Training System

dih icon dih

about AI algorithm using DIH, as a part of the paper https://www.mdpi.com/2079-6374/12/3/144

discogan icon discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

dnc icon dnc

Differentiable Neural Computers

dnc-tensorflow icon dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

dnn_neurosim_v2.0 icon dnn_neurosim_v2.0

Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

featureforge icon featureforge

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

fuel icon fuel

A data pipeline framework for machine learning

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