DeepakLabh

adversarial-document-model

Code needed to reproduce "Modeling documents with Generative Adversarial Networks"

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

autoencoder

Text autoencoder with LSTMs

AutonomousDrivingCookbook

Scenarios, tutorials and demos for Autonomous Driving

awesome-rnn

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

char-rnn-tensorflow

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

competitions

generative-models

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

NLPutilsDL

utility tools for NLP

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

DeepakLabh/adversarial-document-model

Code needed to reproduce "Modeling documents with Generative Adversarial Networks"

DeepakLabh/autoencoder

Text autoencoder with LSTMs

DeepakLabh/AutonomousDrivingCookbook

Scenarios, tutorials and demos for Autonomous Driving

DeepakLabh/awesome-rnn

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

DeepakLabh/char-rnn-tensorflow

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

DeepakLabh/competitions

DeepakLabh/generative-models

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

DeepakLabh/NLPutilsDL

utility tools for NLP

DeepakLabh/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

DeepakLabh/conv_arithmetic

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

DeepakLabh/datrix

DeepakLabh/DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DeepakLabh/deep-learning-book

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

DeepakLabh/easy_seq2seq

An easy to use seq2seq model based on tensorflow's seq2seq

DeepakLabh/generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

DeepakLabh/gotty

Share your terminal as a web application

DeepakLabh/GPyOpt

Gaussian Process Optimization using GPy

DeepakLabh/hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

DeepakLabh/IQOption-Api

Python API for IQ Option

DeepakLabh/keras-resnet

Residual networks implementation using Keras-1.0 functional API

DeepakLabh/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

DeepakLabh/models

Models and examples built with TensorFlow

DeepakLabh/neural_architecture_search_with_reinforcement_learning_appendix_a

Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer

DeepakLabh/notebooks

DeepakLabh/offlineimap

Read/sync your IMAP mailboxes [Python]

DeepakLabh/projects_all

DeepakLabh/pyGPGO

Bayesian optimization for Python

DeepakLabh/self-autoencoder

DeepakLabh/seq2seq

Sequence to Sequence Learning with Keras

DeepakLabh/TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners