steinnberg Goto Github PK

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

alphafold

Open source code for AlphaFold.

automatminer

An automatic engine for predicting materials properties.

cancer_classification_tensorflow_ann

cgcnn

Crystal graph convolutional neural networks for predicting material properties.

cheminformatics

coffee_classification

data-ft-par-labs

data-prework

deep-learning-specialization

This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai

deep-learning-specialization-1

My solutions to Quizzes and Programming Assignments of the specialization.

demo-notebooks

Demos for every topic

film_roughness

fitbit-personal-data-exploration

gmdhpy

Multilayered iterational algorithm of the Group Method of Data Handling

gnome_diy

graphgpt

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

h36m-fetch

Human 3.6M 3D human pose dataset fetcher

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

test_prise en main

house_pricing_tensorflow_ann

ising-deep-learning

Train deep neural nets to classify phases of 2-D Ising model simulations. Ising model configurations are generated through Monte Carlo simulations.

madewithml

Learn how to responsibly deliver value with ML.

matminer

Data mining for materials science

matminer_examples

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

megnet

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

ml-cm-2019

Machine Learning in Condensed Matter Physics 2019 course repository

nlp_spam_classification

pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK