szalpal

DALI

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

dali_backend

DeepLearningExamples

Deep Learning Examples

keras

Deep Learning for humans

pytriton

PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.

TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

torch_audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

3dLocalizer

Determining motion path based on 3d model and one camera

3dTrajectory

Algorithms2Course

Algorithms for Coursera "Algorithms II"

clion_settings

cnpy

library to read/write .npy and .npz files in C/C++

common

Common source, scripts and utilities shared across all Triton repositories.

DALI_deps

3rd party dependencies for DALI project

DALI_extra

Test data for DALI project

Hakerrank

My solutions for hakerrank assignments

keras-applications

Reference implementations of popular deep learning models.

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

libtar

Maintainance repo. Mirror of https://repo.or.cz/libtar.git with additional modifications

mlperf-rnnt-ref

model_navigator

The Triton Model Navigator is a tool that provides the ability to automate the process of model deployment on the Triton Inference Server.

MovingHeadManipulator

MovingHeadOLD

naive_histogram

RepeatTheSequence

server

The Triton Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.

symlink-test

Test for symlinks in git and github

Szal-algorithms

Algorithms written by Szał for various purposes

szalpal.github.io

test_repo

Test repository