rkhosrowshahi
PhD student in CS @ BrockU | MSc in ECE @ UOIT | Research assistant @ NICI lab
Brock UniversityCanada
rkhosrowshahi's Stars
MedMNIST/MedMNIST
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
sdoerrich97/rethinking-model-prototyping-MedMNISTPlus
Official code repository for the paper "Rethinking Model Prototyping through the MedMNIST+ Dataset Collection"
ciodar/deep-compression
PyTorch Lightning implementation of the paper Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. This repository allows to reproduce the main findings of the paper on MNIST and Imagenette datasets.
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
facebookresearch/jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
ruohoruotsi/latex-template-arxiv-preprint
A simple LaTeX template for Technical Reports, arXiv preprints & 2-column Conference papers
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
1ssb/torchkan
An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations
arcee-ai/mergekit
Tools for merging pretrained large language models.
nnaisense/evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
fattorib/Flax-ResNets
CIFAR10 ResNets implemented in JAX+Flax
CMA-ES/pycma
Python implementation of CMA-ES
google/evojax
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
SynodicMonth/ChebyKAN
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
KindXiaoming/pykan
Kolmogorov Arnold Networks
AntonioTepsich/Convolutional-KANs
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
shib0li/VAE-torch
PyTorch implementation of Variational Auto-encoder
HugoBlox/theme-academic-cv
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
mahdihosseini/RMSGD
Exploiting Explainable Metrics for Augmented SGD [CVPR2022]
mahdihosseini/KMCL
Kernel based Multilabel Contrastive Learning
OptimizationExpert/Pyomo
Pyomo respository provides a comprehensive library of solved models in Supply chain management
tilleyd/cec2017-py
Python module for CEC 2017 single objective optimization test function suite.
BIMK/PlatEMO
Evolutionary multi-objective optimization platform
hhromic/python-bcubed
Simple Extended BCubed implementation in Python for clustering evaluation
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
deric/clustering-benchmark
Nyandwi/ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
dmolina/shadeils
Source code of the SHADE with Iterative Local Search, an algorithm specially designed for for real-parameter optimization with high dimensionalidad (Large-Scale Global Optimization)