Pinned Repositories
adversarial-feature-augmentation
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
AI_Artistry
Python implementation of "A Neural Algorithm of Artistic Style," Gatys et al.
autograd
Efficiently computes derivatives of numpy code.
bayesian_dense
Bayesian Weight Uncertainty Dense Layer for Keras
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
HadoopMessageTest
Hexitricity
Deep Convolutional Neural Network, Reinforcement Learning, and Monte Carlo Tree Search to play Hex.
nmt
TensorFlow Neural Machine Translation Tutorial
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
cold-blue's Repositories
cold-blue/HadoopMessageTest
cold-blue/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
cold-blue/bayesian_dense
Bayesian Weight Uncertainty Dense Layer for Keras
cold-blue/caffe
Caffe: a fast open framework for deep learning.
cold-blue/CarND-Alexnet-Feature-Extraction
This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.
cold-blue/CatchGame-QLearningExample-TensorFlow
Catch game example is translated by TensorFlow
cold-blue/convnets-keras
cold-blue/hadoop
Mirror of Apache Hadoop
cold-blue/iaf
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
cold-blue/kafka
Mirror of Apache Kafka
cold-blue/kafka_example
cold-blue/kafka_sasl
cannot run successfully
cold-blue/mcts
An implementation of Monte Carlo Tree Search in python
cold-blue/neural-networks-and-deep-learning-1
cold-blue/PixelVAE
Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
cold-blue/q_learning_demo
This is the code for "How to use Q Learning in Video Games Easily" by Siraj Raval on Youtube
cold-blue/ReinforcementLearning
A collection of simple RL agents in different environments
cold-blue/S.M.A.L.L.C.O.M.P.I.L.E
cold-blue/self-organizing-maps
self organizing maps for clustering data
cold-blue/seminar
antnlp seminar materials
cold-blue/StyleTransfer-VAE
initial
cold-blue/tensorflow-talk-debugging
💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)
cold-blue/testPython1
word2vec_modified
cold-blue/TextureClassificationKMeans
Classifying Textured Areas using Law's energy measure kernels and K-Means segmentation
cold-blue/vae_nf
Variational Autoencoder with Normalizing Flows
cold-blue/vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
cold-blue/vaes
Variational Autoencoders & Normalizing Flows Project
cold-blue/variational-autoencoder
Variational Autoencoder / Deep Latent Gaussian Model demo & tutorial
cold-blue/Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
cold-blue/word2vec-cluster
A script to perform a word embeddings clustering using the K-Means algorithm