mahbubnoor Goto Github PK

kaggle-titanic

Entry in the Titanic: Machine Learning from Disaster competition @ kaggle.com

kaldi

This is the official location of the Kaldi project.

kenlm

KenLM: Faster and Smaller Language Model Queries

keras

Deep Learning for humans

keras-cnn-image-classification-example

CNN implementation using keras

language-resources

Datasets and tools for basic natural language processing.

lavse

Python codes for Lite Audio-Visual Speech Enhancement.

listening-to-sound-of-silence-for-speech-denoising

[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"

lsm

Liquid State Machines in Python and NEST

magenta

Magenta: Music and Art Generation with Machine Intelligence

mcse

meld

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

metricgan

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (ICML 2019, with Travel awards)

ml

machine learning related codes

models

Models and examples built with TensorFlow

movie-trailers-dataset

2010-2014 American Movie Trailers

neural_language_model_bangla

A neural language model trained from the bangla wiki corpus

nlp-for-bengali

State of the Art Language models and Classifier for Bengali, which is primarily spoken by the Bengalis in South Asia.

nlp-for-marathi

State of the Art Language models and Classifier for Marathi, which is spoken predominantly by Marathi people of Maharashtra, India

nlp-for-urdu

This repository contains State of the Art Tokenizer, Language model and Classifier for Urdu, which is one of the Official Languages of India and spoken in various states of India.

nlpir2018

collection of open source code/material for class

nmt

TensorFlow Neural Machine Translation Tutorial

noise2noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

noise_adaptive_dat_se

Noise Adaptive Speech Enhancement using Domain Adversarial Training

notebook

notebooks

collection of iPython notebooks

notebooks-1

Jupyter Notebooks with Deep Learning Tutorials

openface

Face recognition with deep neural networks.

panotti

A multi-channel neural network audio classifier using Keras

pca-tsne-on-mnist-dataset

# MNIST dataset downloaded from Kaggle : #https://www.kaggle.com/c/digit-recognizer/data