Ali Heydari's repositories
DeepLearningGroup
A repository for hosting links and resources presented during the Deep Learning Group meetings (Fall 2021).
PDEs_Solvers
This repository contains some PDE solvers
ScientificComputing-Math233
This repository hosts the code for the Ph.D. level Scientific Computing course, which I will be updating as I complete the course.
Prions-diffus-Rxn
The code for the dynamics of the prions in a dividing yeast cell
Breast-Cancer-Treatment-Prediction
This repository hosts my work (and cited colleague's work) on using Machine Learning for predicting the outcome of a treatment for Breast Cancer Patients using only their mutation profiles.
CUDA-Tutorials
A repository containing tutorials on coding in CUDA for accelerated computing (running code on GPUs). Some material are taken from NVIDIA's DLI courses.
Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
pyrandwalk
:walking: Python Library for Random Walks :walking:
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
tensortools
Fitting and visualizing tensor decompositions in Python
Asymptotics-Math223
A repository for housing Mathematica notebooks (and other coding material) used in the course
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
celebA-HQ-dataset-download
Download CelebA-HQ dataset easily ! Create with docker or download from Google Drive.
Coding_Practice
A repo with some challenge problems (and my solutions) to help with technical interviews.
commons
Carpentries Commons is a place for open sharing of reusable material, such as text for grants, or for job or tenure applications, slide decks for conferences, workshop descriptions, promotional copy, and so on.
IntroVAE
A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"
monocle2-rge-paper
Scripts needed to generate the figures for the Monocle 2 paper (Qiu et al, 2017)
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ResNeXt.pytorch
Reproduces ResNet-V3 with pytorch
tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists 🔥
useful-scripts
common useful script