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👋 Hi, I’m Fahad from TEXAS TECH. -
👀 I’m interested in Optimization / Machine Learning/ Statistics -
🌱 I’m currently learning Machine Learning and Statistics -
💞️ I’m looking to collaborate on Academic Research Projects -
📫 How to reach me? thru my Email: [email protected]
Machine Learning Techniques using python.
Overview
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.
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
6.9k Jan 05, 2023
A comprehensive repository containing 30+ notebooks on learning machine learning!
A comprehensive repository containing 30+ notebooks on learning machine learning!
3.8k Jan 09, 2023
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.
10 May 15, 2022
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o
648 Dec 16, 2022
Firebase + Cloudrun + Machine learning
A simple end to end consumer lending decision engine powered by Google Cloud Platform (firebase hosting and cloudrun)
8 Aug 16, 2022
JMP is a Mixed Precision library for JAX.
Mixed precision training [0] is a technique that mixes the use of full and half precision floating point numbers during training to reduce the memory bandwidth requirements and improve the computatio
108 Dec 31, 2022
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.
720 Dec 25, 2022
Test symmetries with sklearn decision tree models
Test symmetries with sklearn decision tree models Setup Begin from an environment with a recent version of python 3. source setup.sh Leave the enviro
2 Jul 19, 2022
Conducted ANOVA and Logistic regression analysis using matplot library to visualize the result.
Intro-to-Data-Science Conducted ANOVA and Logistic regression analysis. Project ANOVA The main aim of this project is to perform One-Way ANOVA analysi
1 Feb 06, 2022
A toolkit for geo ML data processing and model evaluation (fork of solaris)
An open source ML toolkit for overhead imagery. This is a beta version of lunular which may continue to develop. Please report any bugs through issues
4 Nov 04, 2021
My capstone project for Udacity's Machine Learning Nanodegree
MLND-Capstone My capstone project for Udacity's Machine Learning Nanodegree Lane Detection with Deep Learning In this project, I use a deep learning-b
407 Dec 12, 2022
Simple linear model implementations from scratch.
Hand Crafted Models Simple linear model implementations from scratch. Table of contents Overview Project Structure Getting started Citing this project
2 Sep 13, 2021
Python package for causal inference using Bayesian structural time-series models.
Python Causal Impact Causal inference using Bayesian structural time-series models. This package aims at defining a python equivalent of the R CausalI
219 Dec 11, 2022
Responsible Machine Learning with Python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
624 Jan 06, 2023
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid sym
2 Oct 06, 2022
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference S
208 Dec 27, 2022
fMRIprep Pipeline To Machine Learning
fMRIprep Pipeline To Machine Learning(Demo) 所有配置均在config.py文件下定义 前置环境(lilab) 各个节点均安装docker，并有fmripre的镜像 可以使用conda中的base环境（相应的第三份包之后更新） 1. fmriprep scr
3 Mar 08, 2022
scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.
Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ
180 Dec 20, 2022
Scikit-Garden or skgarden is a garden for Scikit-Learn compatible decision trees and forests.
Scikit-Garden or skgarden (pronounced as skarden) is a garden for Scikit-Learn compatible decision trees and forests.
260 Dec 21, 2022
A model to predict steering torque fully end-to-end
torque_model The torque model is a spiritual successor to op-smart-torque, which was a project to train a neural network to control a car's steering f
4 Jun 03, 2022