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kfac_pytorch

knet.jl

Koç University deep learning framework.

koolmogorov

Koolmogorov is a Python library based on CompLearn

koopman

Koopman Mode Decomposition

l4-optimizer

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

la-maml

Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

labnotebook

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

layer0apidemo

Demonstration of Bookmap L0 API

lda2vec

lead-lag

Estimation of the lead-lag parameter from non-synchronous data.

learn-julia-the-hard-way

Learn Julia the hard way!

learning-from-imbalanced-classes

Learning From Imbalanced Classes

learning-to-communicate

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

learning_to_execute

Learning to Execute

learningstrategies.jl

A generic and modular framework for building custom iterative algorithms in Julia

lens.jl

Lens.jl is a simple Julia library to inspect the runtime behaviour of your programs, with minimal interference to the program itself.

lexvec

This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

libdynticker

Java library to retrieve trading pairs and last value from exchanges.

libsdae

A simple Tensorflow based library for Deep autoencoder and denoising AE.

libtrading

Libtrading, an ultra low-latency trading connectivity library for C and C++.

lighter

A helper library for PyTorch.

lime

Lime: Explaining the predictions of any machine learning classifier

linear-attention-recurrent-neural-network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN.

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

lodax

Low latency high throughput GDAX orderbook analysis engine and trading bot

logical-entailment-dataset

logzero

Robust and effective logging for Python 2 and 3.

lossupaccup

Loss and accuracy go opposite ways...right?

lppls

Library for fitting the LPPLS model to data.

lrh

Learning RNN Hierarchies