EvrenToptop

EvrenToptop's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66.9k9.1k

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6k794

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k45.8k

• kitchenknif/PyTMM

  Transfer Matrix Method implemetation & RefractiveIndex.info database browser

  Language:Python4318

• tminka/bpm

  Bayes Point Machine toolbox

  Language:Matlab115

• foolyc/Meta-SGD

  Meta-SGD experiment on Omniglot classification compared with MAML

  Language:Python7910

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.6k351

• tristandeleu/ntm-one-shot

  One-shot Learning with Memory-Augmented Neural Networks

  Language:Python42194

• WenbinLee/DN4

  Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

  Language:Python19043

• vgsatorras/few-shot-gnn

  Language:Python567151

• VBA-tools/VBA-JSON

  JSON conversion and parsing for VBA

  Language:Visual Basic1.8k573

• lamblin/bayareadlschool

  Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016

  Language:Jupyter Notebook11470

• QingyuZhao/VAE-for-Regression

  A toy example of VAE-regression network

  Language:Jupyter Notebook7021

• hackingmaterials/pv-vision

  Image analysis tool for solar modules, assisted by deep learning.

  Language:Jupyter Notebook3611

• hackingmaterials/matminer_examples

  A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code

  Language:Jupyter Notebook10260

• hackingmaterials/automatminer

  An automatic engine for predicting materials properties.

  Language:Python13550

• hackingmaterials/atomate

  atomate is a powerful software for computational materials science and contains pre-built workflows.

  Language:Python241173

• materialsintelligence/mat2vec

  Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

  Language:Python617180

• materialsvirtuallab/matgenb

  Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

  Language:Jupyter Notebook225142

• pyiron/pyiron

  pyiron - an integrated development environment (IDE) for computational materials science.

  Language:Jupyter Notebook36147

• materialsintelligence/propnet

  A knowledge graph for Materials Science.

  Language:HTML7223

• marvel-nccr/quantum-mobile

  A Virtual Machine for computational materials science

  Language:Python9132

• libAtoms/matscipy

  Materials science with Python at the atomic-scale

  Language:Python18055

• hachmannlab/chemml

  ChemML is a machine learning and informatics program suite for the chemical and materials sciences.

  Language:Python16230

• materialsvirtuallab/nano281

  Data Science for Materials Science

  Language:Jupyter Notebook5827

• OpenChemistry/avogadrolibs

  Avogadro libraries provide 3D rendering, visualization, analysis and data processing useful in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.

  Language:C++442168

• BlueQuartzSoftware/DREAM3D

  Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

  Language:C++16176

• materials/mint

  Materials Interface: methods in computational materials science

  Language:C++267

• OpenChemistry/avogadroapp

  Avogadro is an advanced molecular editor designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.

  Language:C++18470

• materialsvirtuallab/veidt

  Veidt is a deep learning library for materials science.

  Language:Python189