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adverse-drug-effect-detection

This repo demonstrates how to train an NLP model that can detect adverse drug effects (ADEs) in phrases.

art053_nn_dcgan

Public repository containing materials used in the DCGAN article.

automatic_infant_cry_audio_classification

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

baby_cry_detection

Recognition of baby cry audio signal

baby_cry_rpi

babycry

Classify the baby cry into 8 different categories (hungry, needs burping, scared, belly pain, discomfort, cold/hot, lonely, tired).

bird-acoustics-rcnn

We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species

bookstore

bookstore

bopr

Bayesian online learning scheme for probit regression with R

crnn-audio-classification

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

crnn2

A PyTorch implementation of CRNN for text recognition.

csgraduatefellowships

A curated list of fellowships for graduate students in Computer Science and related fields.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

devopsthings

dhis2-docs

Documentation for DHIS 2 in markdown format

django_class

donateacry-corpus

An infant cry audio corpus that's being built through the Donate-a-cry campaign - see http://donateacry.com

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dynamicbind

repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model

edureka-git-demo

edureka git demo 15.01.2023

emotion-classification-from-audio-files

Understanding emotions from audio files using neural networks and multiple datasets.

feddct

FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks

federated-learning-asr-based-on-wav2vec-2.0

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

federatedspeechcommands

Speech recognition with federated learning

fedstar

Federated Self-Training for Data-Efficient Audio Recognition

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.