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3d-machine-learning

A resource repository for 3D machine learning

3d_rp-net

age-gender-estimation-tutorial

Tutorial for creating multi-task age and gender estimator in Tensorflow

ai-uav-simulator

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

argus-freesound

Kaggle | 1st place solution for Freesound Audio Tagging 2019

audio-classification

Code for YouTube series: Deep Learning for Audio Classification

audioset_classification

awesome-machine-learning

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

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-mlops

A curated list of references for MLOps

awesome-mobility-machine-learning-contents

Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)

awesome-osint

:scream: A curated list of amazingly awesome OSINT

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bottender

⚡️ A framework for building conversational user interfaces.

cloud-gpus

This repository contains information about Cloud GPU offerings for Machine Learning practitioners.

coursera

Quiz & Assignment of Coursera

coursera-dl

Script for downloading Coursera.org videos and naming them.

covid-net

COVID-Net Open Source Initiative

covid-xprize

Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic Response Challenge

covid-xray

crnn-audio-classification

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

deep-listening

Deep Learning experiments for audio classification

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.

deepaudioclassification

Finding the genre of a song with Deep Learning

deepfakes

This is the code for "DeepFakes" by Siraj Raval on Youtube

deeplearningforaudiowithpython

Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.

drldbackend

Deep Reinforcement Learning methods for an autonomous drone

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

forest-fire-detection-through-uav-imagery-using-cnns

Wildfire is a natural disaster, causing irreparable damage to local ecosystem. Sudden and uncontrollable wildfires can be a real threat to residents’ lives. Statistics from National Interagency Fire Center (NIFC) in the USA show that the burned area doubled from 1990 to 2015 in the USA. Recent wildfires in northern California (reported by CNN) have already resulted in more than 40 deaths and 50 missing. More than 200,000 local residents have been evacuated under emergency. The wildfires occur 220,000 times per year globally, the annual burned area is over 6 million hectares. Accurate and early detection of wildfire is therefore of great importance. Fire detection task is crucial for people safety. Several fire detection systems were developed to prevent damages caused by fire. One can find different technical solutions. Most of them are sensors based and are also generally limited to indoors. They detect the presence of particles generated by smoke and fire by ionization, which requires a close proximity to the fire. Consequently, they cannot be used in large covered area. Moreover, they cannot provide information about initial fire location, direction of smoke propagation, size of the fire, growth rate of the fire, etc. To get over such limitations video fire detection systems are used