olokshyn Goto Github PK

bootstrapgl

A library for fast creation and development of OpenGL applications.

car

Community Approval Rating - estimate CAR of events using Tweets

clist

Type-safe, template implementation of doubly-linked list in C

codellama

Inference code for CodeLlama models

coder_detector

Is this human a coder? This tool reveals software developers among us. Catch them all before machines destroy humanity!

coursera

Programming assesments from Coursera website

cuda_learning

Learning to write CUDA programs

divisiveclustering

Divisive clustering algorithm with several distance norms and binding criterions

eagleeye

A tool for analyzing logs and quick tracking down of problems.

elementarysorts

Simple implementations of simple sorts: selection, insertion, shell, merge and quick, with unit tests.

evolution

Using concepts of speciating in genetic algorithm for finding functions extrema

freertos-emulator

POSIX based FreeRTOS emulator with SDL2 graphics interface and multiple async communications interfaces, aiming to make it possible to teach FreeRTOS without embedded hardware using similar processes

git-practice

git-tutorial

A Git, C, POSIX and CMake tutorial

hyperparameters

Define your Hyperparams once and use in argparse, hypertunning libraries, and as strongly-typed attributes in code!

iktest

mamba

mininet

Implementation of NN in pure Python for practice

motorbike-accidents

Predict the number of ambulance calls due to motorbike accidents

n_in_a_row

Solution for four in a row game

nethoscope

A stethoscope for your iptables configuration!

nvidiadeeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

optics

OPTICS clustering algorithm

parallel-regulations

Laboratory work: create algorithm for minimizing the width of the parallel regulation of the tasks graph

parkinglot

Assignment: a program that identifies the busiest time on the parking lot

planner

prospective-configuration

This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."

python-dataframe-split-per-processes

Benchmark two approaches of sending chunks of a DataFrame to worker processes: using a global variable and as an argument using .map().

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

raopredictivecoding

Implementation of Rao, Ballard: Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects