If you would like to learn more about my work, check out my website!
eghbalz Goto Github PK
Name: Hamid
Type: User
Hamid's Projects
02456-project
aufschtrich
A simple simulation on how disease can spread.
carlarl
code4reference
This repo has code which can be referred as example code. These code have been written for learning purpose.
contextual-gridworld
This repository hosts the Contextual Grid-world environment.
covid-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
cpjku_dcase20
CP-JKU submission to DCASE 20
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
deepsnp
The sourcecode of DeepSNP
eghbalz
It's me!
eghbalz.github.io
fashiongen2018
ismir2018-oss-tutorial
ISMIR2018 Tutorial on Open Source and Reproducibility in MIR Research
ivector_denoising
ivector denoising method based on ICASSP'15 paper: ADDITIVE NOISE COMPENSATION IN THE I-VECTOR SPACE FOR SPEAKER RECOGNITION
ivector_extractor
an ivector extractor in total variability space
keras-rl
Deep Reinforcement Learning for Keras.
lighter
PyTorch extension for faster prototyping and dependency injection.
malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
manifold-flow
Manifold-modeling flows (MFMFs)
master
mdgan
Mixture Density Generative Adversarial Networks
mushroom-rl
Python library for Reinforcement Learning.
nle
The NetHack Learning Environment
openprotein
A PyTorch framework for prediction of tertiary protein structure
prospr
ProSPr: Protein Structure Prediction
proteinnet
Standardized data set for machine learning of protein structure
pytorch-crf
Conditional random field in PyTorch.
pytorch-rgn
Recurrent Geometric Network in Pytorch
rethink_da_for_ar
rgn
Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
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