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auto_cell_annot

Automatic annotation of single-cells after clustering in python using Scanpy and PanglaoDB

bi-be-cs-183-2023

Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

constrained-deep-learning

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

fastgpt

Fast GPT-2 inference written in Fortran

feature-selection-cqm

Use a hybrid solver to select features from two data sets

feature-selection-data

Data used for the article "Feature Selection on Quantum Computers"

flosic_scripts

This repository contains my python and bash scripts for tests and automatizations.

fortran-utils

Various utilities for Fortran programs

fun_modern_fortran_basics

gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

groundgan

A causal implicit generative model for simulating single-cell RNA-seq data guided by a gene regulatory network 🧬

gto_integrals_f90

This project aims for gaussian type orbital integrals in Fortran90 with data structures.

hp_model_proteins

image-super-resolution

TensorFlow2 implementation of SRResNet and SRGAN

learn-modern-advanced-cpp

The source code for the examples in my Udemy course "Learn Advanced Modern C++"

louvain-clustering

MATLAB simulation of clustering using Louvain algorithm, and comparing its performance with K-means.

mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

mft

Meta-factorization

miscellaneous_codes

nrlmol_utility_codes

Some utility codes for NRLMOL and FLOSIC codes

openacc-users-group

publicrelease_2020

FLOSIC code is used for performing self-interaction corrected (SIC) density functional approximation calculations. Fermi Löwdin orbital implementation of Perdew-Zunger SIC scheme is used in the software.

pyscf

Python module for quantum chemistry

python_scripts

Collection of python scripts for different purposes

pythonn_codes

This repository contains numerical implementations for solving differential equations in Python

qiskit

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

qiskit-global-summer-school-2023