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-hands-on-predictive-analytics-with-python

Hands-On-Predictive-Analytics-with-Python

advanced-artificial-intelligence-projects-with-python

Code repository for Advanced Artificial Intelligence Projects with Python, Published By Packt

aidl_kb

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

animeshsrivastava24.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

artificial-intelligence-with-python

Code repository for Artificial Intelligence with Python, published by Packt

asr

A Python 2.7 implementation of Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) algorithms for Automated Speech Recognition (ASR).

aubio

a library for audio and music analysis

autoencoder-speech-compression

Code for "End-to-End Optimized Speech Coding with Deep Neural Networks" (ICASSP 2018)

awesome-python-scientific-audio

Curated list of python software and packages related to scientific research in audio

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bert-multi-gpu

Feel free to fine tune large BERT models, Multi-GPU supported.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet-1

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bmxnet-v2

BMXNet v2: An Open-Source Binary Neural Network Implementation Based on MXNet

cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

carbusinterface

Android application for interfacing with a vehicle's communication bus via Bluetooth OBD2 dongle.

codekatas

Keep your skills sharp by implementing basic algorithms and data structures

convolutionaneuralnetworkstoenhancecodedspeech

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.

cort

A toolkit for coreference resolution and error analysis.

cs224d

Contains the problem set solutions from Stanford's cs224d created during self study of that course

cs231n

CS231n Stanford coursework.

csnlp

Neural Stacking Dependency Parsers for Code Switching texts

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

datasets

A collection of all my datasets

dataviz

Data Visualization With Matplotlib and Seaborn

deep-coref

deep-learning

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-illustrated

Deep Learning Illustrated (2019)