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ammi-2019-convnets

Materials for the Convolutional Neural Networks class of the AMMI given by Laurens van der Maaten and Anton Bakhtin

blinky-dome

See it live at 8 & Esplanade @ The Hive

blocks

A Theano framework for building and training neural networks

blocks-extras

A collection of extensions to the Blocks framework

codeforces

Codeforces testing environment

diplomacy

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

hanabi-live

A web server that allows people to play Hanab, a cooperative card game of logic and reasoning.

hydra

Hydra is a framework for elegantly configuring complex applications

kaldi

This is now the official location of the Kaldi project.

lua---nnx

An extension to Torch7's nn package.

nevergrad

A Python toolbox for performing gradient-free optimization

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

python-mode

Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

simple_rnn_benchmark

Simple RNN (LSTM) benchmark

tensorcomprehensions

A domain specific language to express machine learning workloads.

test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

torch-blocksparse

Block-sparse primitives for PyTorch

torch7

torch_googletest_bug

warp-ctc

PyTorch bindings for Warp-CTC

wav2letter

Facebook AI Research's Automatic Speech Recognition Toolkit

wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.