gbt
There are 0 repository under gbt topic.
- Language:kvlang 107
MahsaShk / ApacheSpark
Apache Spark machine learning project using pyspark
Language:Jupyter Notebook 6- alice-fit-fpga
AliceO2Group / alice-fit-fpga
ALICE Fast Interaction Trigger (FIT) FPGA code
Language:VHDL 5 ferencberes / wsdm-spotify-challenge-2019
Sequential skip prediction using deep learning and ensembles
Language:Python 5csbanon / branch-predictor
Branch Predictor is a C# program that runs a gshare branch prediction simulation, according to a specified number of Global Buffer Table (GBT) and Global History Record (GHR) bits. 2019.
Language:C# 4- Language:Python 2
drylikov / password_parole
Simple and fast password manager based on gen_server and general balanced trees.
Language:Erlang 1- Language:TeX 1
lk-geimfari / parole
Simple and fast password manager based on gen_server and general balanced trees.
Language:Erlang 1timrobishaw / rhstk
Robishaw/Heiles SToKes IDL package to process single-dish spectropolarimetric radio astronomical data.
AbinetKH / GBTCurvedPipeLinear
FEM implementation of GBT for analysis of thin-walled curved pipe members
Language:Python 0FEM implementation of GBT for analysis of thin-walled straight pipe members
Language:C++ 0amrw-js / pelingo
is a cutting-edge application that leverages the power of GPT and Gemini APIs to provide seamless language translation capabilities. This project automatically detects the language of the input text and allows users to easily swap between multiple languages.
Language:TypeScript 0CodeLtDave / Boosting-Algorithms-ML-Seminararbeit
Exploration of Boosting Algorithms in Machine Learning: This repository hosts a seminar paper examining key boosting algorithms like AdaBoost, Gradient Boosting, and XGBoost. It includes theoretical insights, practical applications, and comparative analyses, providing a comprehensive understanding of boosting techniques in ML.
Language:Jupyter Notebook 0ethanjone-s / SNeHost-Stellar-Mass-Calculations
Capstone Project 2023-2024: Calculating logarithmic stellar masses for supernova host galaxies through photometry of unWISE imaging.
Language:Python 0reza-chehreghani / AI-Assignment-2-Machine-Learning-Algorithms
Implemented KNN, SVM (with RBF kernel), GBT, and XGBoost, explaining their mathematical foundations and practical applications through numerical examples and performance comparisons.
Language:Jupyter Notebook 0ritikdhame / House_Price_Prediction_with_Pyspark
Predicting House Prices using Linear Regression, Random Forest and GBT Regression
Language:Jupyter Notebook 0DAVID316CORDOVA / Delayed-flight-models-with-PySpark
Learn how to create a regression model with PySpark. First, we will do data cleaning and data engineering, then I´ll show you how to use GridSearch and Cross Validation to calculte the R2-Score of a GBTRegressor Model
Language:Jupyter Notebook
