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irl icon irl

Inverse Reinforcement Learning

irl-1 icon irl-1

Implementations of Inverse Reinforcement Learning and new algorithms

irl-imitation icon irl-imitation

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

irl-maxent icon irl-maxent

Experiments showing effects of parameters on Maximum Entropy Inverse Reinforcement Learning using grid world

is13 icon is13

RNN for Spoken Language Understanding

iveely.search icon iveely.search

Pure java realize search engine, try to directly hit the user's search for answers.

java-designpattern-learning icon java-designpattern-learning

关于Java Design Pattern (设计模式) 学习积累的例子，是初学者及设计模式巩固的最佳实践。

javacnn icon javacnn

A Java implement of Convolutional Neural Network.

jihanki icon jihanki

Jihanki is a lightweight WFST toolkit implemented entirely in python

jlbfgs icon jlbfgs

Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) in Java

joint-slu-lm icon joint-slu-lm

Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.

jrnnlm icon jrnnlm

RNNLM implementation in java Language

jsgf-parser icon jsgf-parser

Simple JSGF Parser for speech recognition (Recommended for CMU Sphinx)

jsgfgen icon jsgfgen

Java library for programmically creating JSGF files/grammars.

jsgftools icon jsgftools

Some tools for JSGF grammar expansion. Generate sentences from a JSGF Grammar.

jstate icon jstate

Advanced state machines in Java.

kaldi-lstm icon kaldi-lstm

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.

kalman icon kalman

Some Python Implementations of the Kalman Filter

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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