imjusticee

imjusticee's Stars

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.4k4.3k

• Data-Centric-AI-Community/awesome-data-centric-ai

  Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

  Language:Jupyter Notebook31744

• SasankYadati/Adversarial-Attacks-in-Machine-Learning

  A brief study on Adversarial Attacks and python scripts to generate and study them.

  Language:Python1

• optuna/optuna-examples

  Examples for https://github.com/optuna/optuna

  Language:Python676176

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.8k1.5k

• mvreal/Reliability

  A Python class for Reliability analysis including Monte Carlo and FORM methods

  Language:Python131

• AmirAli5/Deep-Learning

  In this repo, all about Deep Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Neural Network Architectures.

  Language:Jupyter Notebook3928

• AmirAli5/Machine-Learning

  In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.

  Language:Jupyter Notebook4535

• anirudh998/Machine-Learning

  Language:Jupyter Notebook2

• openturns/otpod

  A module to build Probability of Detection for Non Destructive Testing

  Language:Python85

• MatthewReid854/reliability

  Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

  Language:Python33475

• openturns/openturns

  Uncertainty treatment library

  Language:C++23493

• yaringal/DropoutUncertaintyExps

  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

  Language:Python552122

• AlaaLab/deep-learning-uncertainty

  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

  Language:Jupyter Notebook59778

• jschmi08/NGLTriggering

  Code and data to estimate models for predicting seismic soil liquefaction potential

  1

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python35k4.1k

• danielbmmatos/Reduced-Model-of-Shear-Building

  Jupyter Notebook of the reduced model of a shear building

  Language:Jupyter Notebook21

• SURGroup/UQpy_paper

  Jupyter Scripts for the UQpy Paper

  Language:Jupyter Notebook45

• SURGroup/UQpy

  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

  Language:Python27680

• huangboming/PDEs-PINN-Examples-Using-Tensorflow2

  Some examples of using PINN to solve PDEs numerically

  Language:Jupyter Notebook132