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kaldi-git

This is not the official kaldi repository. It is better to fork https://github.com/kaldi-asr/kaldi or https://github.com/vimalmanohar/kaldi instead.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

keras-attention

Visualizing RNNs using the attention mechanism

kernel_reg

Pytorch implementation of regularization methods for deep networks obtained via kernel methods.

kullback-leibler-divergences-and-kl-ucb-indexes

🐍 🔬 Fast Python implementation of various Kullback-Leibler divergences for 1D and 2D parametric distributions. Also provides optimized code for kl-UCB indexes

lasagne

Lightweight library to build and train neural networks in Theano

learn-graph-laplacian

Implementation of the paper Learning Laplacian Matrix in Smooth Graph Signal Representations

lectures

libble-spark

libsodium

A modern and easy-to-use crypto library.

libzmq

ZeroMQ core engine in C++, implements ZMTP/3.0

loadcaffe

Load Caffe networks in Torch7

logistic-regression-sgd

L1-regularized logistic regression using stochastic gradient descent [machine learning]

lola

Code release for Learning with Opponent-Learning Awareness and variations.

lp-sparsemap

LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs

lstm-autoencoder

Seq2Seq LSTM Autoencoder

lua---parallel

A (simple) parallel computing framework for Lua

luaffi

Standalone FFI library for calling C functions from lua. Compatible with the luajit FFI interface.

luaffifb

FFI package for Lua 5.1 and Lua 5.2

lust

Lua String Templates

machine-learning-and-reinforcement-learning-in-finance

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

marvin

Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework

mathsdl-spring19

Mathematics of Deep Learning, Courant Insititute, Spring 19

matrixoptim

MILP, Robust Optim. and Stochastic Optim. with Decomposition Algorithm in Julia

mdd

Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

meta-rl

Implementation of Meta-RL A3C algorithm

metaoptnet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

minerva

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

minigo

An open-source implementation of the AlphaGoZero algorithm