kgl-prml's repositories

500lines

500 Lines or Less

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ac-gan

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

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awesome-machine-learning

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

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awesome-python-books

如果有人让你推荐 Python 技术书,请让他看这个列表

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caffe

Caffe: a fast open framework for deep learning.

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CommAI-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

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dcgan_code

Deep Convolutional Generative Adversarial Networks

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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deep-reinforcement-learning-papers-1

A list of papers and resources dedicated to deep reinforcement learning

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fb-caffe-exts

Some handy utility libraries and tools for the Caffe deep learning framework.

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fusenet

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

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kerlym

KEras Reinforcement Learning gYM agents

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lab

A customisable 3D platform for agent-based AI research

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Lasagne

Lightweight library to build and train neural networks in Theano

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malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

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ml-videos

A collection of video resources for machine learning

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NNProject_DeepMask

Deep Neural Network for object segmentation.

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optimize-net

OptNet - Reducing memory usage in torch neural nets

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Paddle

PArallel Distributed Deep LEarning

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papers

Collection of papers

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pixel-cnn

adaptation of PixelCNN

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simple_dqn

Simple deep Q-learning agent.

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TorchCraft

Connecting Torch to StarCraft

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unreal

Reinforcement learning with unsupervised auxiliary tasks

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vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

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wide-residual-networks

95.8% and 80% on CIFAR-10 and CIFAR-100

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wide_residual_nets_caffe

training wide residual networks in caffe

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