-
👋 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 -
đź“« How to reach me? thru my Email: [email protected]
Machine Learning Techniques using python.
Overview
A Multipurpose Library for Synthetic Time Series Generation in Python
TimeSynth Multipurpose Library for Synthetic Time Series Please cite as: J. R. Maat, A. Malali, and P. Protopapas, “TimeSynth: A Multipurpose Library
278 Dec 26, 2022
Machine Learning approach for quantifying detector distortion fields
DistortionML Machine Learning approach for quantifying detector distortion fields. This project is a feasibility study for training a surrogate model
1 Nov 05, 2021
Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort
Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort
2.3k Jan 04, 2023
A complete guide to start and improve in machine learning (ML)
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art
3.3k Jan 04, 2023
MICOM is a Python package for metabolic modeling of microbial communities
Welcome MICOM is a Python package for metabolic modeling of microbial communities currently developed in the Gibbons Lab at the Institute for Systems
57 Dec 21, 2022
Getting Profit and Loss Make Easy From Binance
Getting Profit and Loss Make Easy From Binance I have been in Binance Automated Trading for some time and have generated a lot of transaction records,
17 Dec 21, 2022
Decision tree is the most powerful and popular tool for classification and prediction
Diabetes Prediction Using Decision Tree Introduction Decision tree is the most powerful and popular tool for classification and prediction. A Decision
1 Jan 23, 2022
Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)
Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)
64 Nov 30, 2022
The Emergence of Individuality
The Emergence of Individuality
16 Jul 20, 2022
XManager: A framework for managing machine learning experiments 🧑‍🔬
XManager is a platform for packaging, running and keeping track of machine learning experiments. It currently enables one to launch experiments locally or on Google Cloud Platform (GCP). Interaction
620 Dec 27, 2022
Distributed Deep learning with Keras & Spark
Elephas: Distributed Deep Learning with Keras & Spark Elephas is an extension of Keras, which allows you to run distributed deep learning models at sc
1.6k Dec 29, 2022
Primitives for machine learning and data science.
An Open Source Project from the Data to AI Lab, at MIT MLPrimitives Pipelines and primitives for machine learning and data science. Documentation: htt
65 Dec 29, 2022
Coursera Machine Learning - Python code
Coursera Machine Learning This repository contains python implementations of certain exercises from the course by Andrew Ng. For a number of assignmen
859 Dec 10, 2022
Predicting India’s COVID-19 Third Wave with LSTM
Predicting India’s COVID-19 Third Wave with LSTM Complete project of predicting new COVID-19 cases in the next 90 days with LSTM India is seeing a ste
4 Jan 27, 2022
slim-python is a package to learn customized scoring systems for decision-making problems.
slim-python is a package to learn customized scoring systems for decision-making problems. These are simple decision aids that let users make yes-no p
37 Nov 02, 2022
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S
3.5k Jan 01, 2023
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
Mesh TensorFlow: Model Parallelism Made Easier
Mesh TensorFlow - Model Parallelism Made Easier Introduction Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying
1.3k Dec 26, 2022
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l
23.6k Jan 03, 2023
Greykite: A flexible, intuitive and fast forecasting library
The Greykite library provides flexible, intuitive and fast forecasts through its flagship algorithm, Silverkite.
1.7k Jan 04, 2023