Pinned Repositories
Amin
amls-pytorch
awesome-materials-informatics
Curated list of known efforts in materials informatics
Azure-Machine-Learning-Engineering
Azure Machine Learning Engineering, published by Packt
beginners-pytorch-deep-learning
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
CNMS_ML_in_MS_Workshop_2019
Machine Learning in Materials Science: An Introduction through Python. Workshop as part of CNMS User Meeting 2019
cnn_gaussian_process_uncertainty
Use Gaussian processes to estimate CNN classification uncertainty
code_snippets
CosineSampler
Triple backward custom CUDA kernel for interpolation supporting third order gradients
maml
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
Mehdishishehbor's Repositories
Mehdishishehbor/Amin
Mehdishishehbor/Azure-Machine-Learning-Engineering
Azure Machine Learning Engineering, published by Packt
Mehdishishehbor/code_snippets
Mehdishishehbor/CosineSampler
Triple backward custom CUDA kernel for interpolation supporting third order gradients
Mehdishishehbor/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Mehdishishehbor/CSUMS2022_PINNs
Simple examples of physics-informed neural networks
Mehdishishehbor/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Mehdishishehbor/Deep-Learning-with-PyTorch-Lightning
Getting Started with PyTorch Lightning, Published by Packt
Mehdishishehbor/fastbook
The fastai book, published as Jupyter Notebooks
Mehdishishehbor/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Mehdishishehbor/ineuron_industry
Mehdishishehbor/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
Mehdishishehbor/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Mehdishishehbor/Mastering-Azure-Machine-Learning
Mastering Azure Machine Learning, published by packt
Mehdishishehbor/Math-For-Machine-learning-Manning
Mehdishishehbor/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Mehdishishehbor/models
Models and examples built with TensorFlow
Mehdishishehbor/Modern-Computer-Vision-with-PyTorch
Modern Computer Vision with PyTorch, published by Packt
Mehdishishehbor/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
Mehdishishehbor/modulus
A PyTorch based deep-learning toolkit for developing DL models for physical systems
Mehdishishehbor/modulus-sym
An abstracted framework for training AI surrogates of physical systems using physics-based symbolic loss functions
Mehdishishehbor/nextorch
Experimental design and Bayesian optimization library in Python/PyTorch
Mehdishishehbor/PINNs
Basic implementation of physics-informed neural network with pytorch.
Mehdishishehbor/PIXEL
Physics-Informed Cell Representations
Mehdishishehbor/portfolio-template
Get started with your GitHub Pages portfolio by cloning this repo!
Mehdishishehbor/refine
Build your React-based CRUD applications, without constraints.
Mehdishishehbor/SGConv
Mehdishishehbor/tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
Mehdishishehbor/workshop
The Materials Project Workshop Curriculum
Mehdishishehbor/youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.