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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ai_writer

AI Writer for Machine Learning for Hackers #8

aircrack-ng

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

artistic-videos

Torch implementation for the paper "Artistic style transfer for videos"

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

awesome-machine-learning

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

bitcoin

Bitcoin Core integration/staging tree

blog_os

Writing an OS in Rust

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-tensorflow

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

cleverhans

A library for benchmarking vulnerability to adversarial examples

convolutional-network

A convolutional neural network from scratch

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deepterrainrl

terrain-adaptive locomotion skills using deep reinforcement learning

enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

enet-keras

A keras implementation of ENet (work in progress)

flask-socketio-video-stream

an attempt to stream the webcam with Flask and Socket.io

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ibm_blockchain

A mini blockchain application in pure Python

icml2016

Generative Adversarial Text-to-Image Synthesis

igan

Interactive Image Generation via Generative Adversarial Networks

jse_okcupid

Journal of Statistical Education Paper on Using OkCupid Data for Data Science Courses

kaldi-lstm

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.

ktor-samples

Sample projects for Ktor

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

learning-to-learn

Learning to Learn in TensorFlow

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.