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human-activity-recognition-using-smartphones

icefall

icml2015_papers

Links to ICML 2015 papers available on arxiv

icoffeemap

The App is written for my friend who love the coffee very much

ihkeyboardavoiding

IHKeyboardAvoiding is an elegant solution for keeping any UIView visible when the keyboard is being shown - no UIScrollView required!

ihkeyboarddismissing

A custom view that, when tapped, will dismiss the keyboard

ihparallaxnavigationcontroller

IHParallaxNavigationController is a UINavigationController subclass that uses a parallax effect when pushing and popping view controllers

iii-teaching-chatbot-and-asr-building

This repo has been deprecated, please go to III_Teaching_201907

iii_teaching_201907

Course Data

image-classification

industrial-defect-inspection-segmentation

Automatic Defect Inspection with End-to-End Deep Learning

intelligent-projects-using-python

Intelligent Projects Using Python, published by Packt

interspeech2019-tutorial

INTERSPEECH 2019 Tutorial Materials

intorducing-speech-and-language-processing-studying

ios-proj-casinogame

Swift 3 Slot machine

iqt_uuchat

Modified UUChat by iQT

islp-resource

This repo contains resources of book entitled "introducing speech and language processing"

jieba

结巴中文分词

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

k2

FSA/FST algorithms, differentiable, with PyTorch compatibility.

kaggle_tensorflow_speech_recognition_challenge

Kaggle Speech Recognition Challenge

kaldi

This is now the official location of the Kaldi project.

kaldi-gstreamer-server

Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.

kaldi-io-for-python

Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

kaldi_egs_notes

kaldibasedspeakerverification

Kaldi based speaker verification

kalman-filters

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

keenasr-ios-poc

Proof of concept app that demonstrates use of KeenASR speech recognition framework

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keyword-detection

Simple Speech Keyword Detecting with Depthwise Separable Convolutions | DLology