Ilia Kulikov's starred repositories

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

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async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

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requests-for-research

A living collection of deep learning problems

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magenta

Magenta: Music and Art Generation with Machine Intelligence

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you-get

:arrow_double_down: Dumb downloader that scrapes the web

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tfdeploy

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

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OpenBLAS

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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pastalog

Simple, realtime visualization of neural network training performance.

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nninit

Weight initialisation schemes for Torch7 neural network modules

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awesome-torch

A curated list of awesome Torch tutorials, projects and communities

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neural-doodle

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

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torch-bnlstm

Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.

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TensorFlow-Pointer-Networks

TensorFlow implementation of Pointer Networks

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the-art-of-command-line

Master the command line, in one page

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Python-for-Algorithms--Data-Structures--and-Interviews

Files for Udemy Course on Algorithms and Data Structures

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NNPACK

Acceleration package for neural networks on multi-core CPUs

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rnn

Recurrent Neural Network library for Torch7's nn

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thefuck

Magnificent app which corrects your previous console command.

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rlenvs

Reinforcement learning environments for Torch7

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Interview_Problems

Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.

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torch-rnn

Efficient, reusable RNNs and LSTMs for torch

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deep-reinforcement-learning-papers

A list of papers and resources dedicated to deep reinforcement learning

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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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