Noxoomo

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

alac-utils

Command-line utilities for converting ape+cue, wv+cue, flac+cue, flac, to Apple Lossless (ALAC) tracks

bamtools

C++ API & command-line toolkit for working with BAM data

bio_utils

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

clion-cuda-run-patcher

This plugin provides a simple fix for JetBrains CLion issue CPP-10292 with CUDA language executables

DBCSC

database course homework in compscicenter

decision_tree_interpretation

ml_lib

jmll

Java Machine Learning Library

Noxoomo/DBCSC

database course homework in compscicenter

Noxoomo/alac-utils

Command-line utilities for converting ape+cue, wv+cue, flac+cue, flac, to Apple Lossless (ALAC) tracks

Noxoomo/bamtools

C++ API & command-line toolkit for working with BAM data

Noxoomo/bio_utils

Noxoomo/catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

Noxoomo/clion-cuda-run-patcher

This plugin provides a simple fix for JetBrains CLion issue CPP-10292 with CUDA language executables

Noxoomo/decision_tree_interpretation

Noxoomo/ml_lib

Noxoomo/nlp-compscicenter-2014

NLP homeworks in compscicenter

Noxoomo/GBM-Benchmarks

Noxoomo/hse_optimization_methods

Homeworks for the optimization methods course

Noxoomo/JsonPath

Java JsonPath implementation

Noxoomo/ml-algorithms-practice-classifiers

Realizations of some ML algorithms (homeworks in CSC)

Noxoomo/nnwdt

Noxoomo/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.