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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
MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine Learning work with thousands of other users.
The collaboration platform for Machine Learning MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Toolkit for Building Robust ML models that generalize to unseen domains (RobustDG) Divyat Mahajan, Shruti Tople, Amit Sharma Privacy & Causal Learning
Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)
sklearn-compatible Random Bits Forest Scikit-learn compatible wrapper of the Random Bits Forest program written by Wang et al., 2016, available as a b
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.
Management of exclusive GPU access for distributed machine learning workloads
TensorHive is an open source tool for managing computing resources used by multiple users across distributed hosts. It focuses on granting
30 Days Of Machine Learning Using Pytorch
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Penguins species predictor app is used to classify penguins species created using python's scikit-learn, fastapi, numpy and joblib packages.
Penguins Classification App Penguins species predictor app is used to classify penguins species using their island, sex, bill length (mm), bill depth
moDel Agnostic Language for Exploration and eXplanation
moDel Agnostic Language for Exploration and eXplanation Overview Unverified black box model is the path to the failure. Opaqueness leads to distrust.
Adaptive: parallel active learning of mathematical functions
adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu
A Lucid Framework for Transparent and Interpretable Machine Learning Models.
Currently a Beta-Version lucidmode is an open-source, low-code and lightweight Python framework for transparent and interpretable machine learning mod
Crunchdao - Python API for the Crunchdao machine learning tournament
Python API for the Crunchdao machine learning tournament Interact with the Crunc
A Python-based application demonstrating various search algorithms, namely Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search (Manhattan Distance Heuristic)
A Python-based application demonstrating various search algorithms, namely Depth-First Search (DFS), Breadth-First Search (BFS), and the A* Search (using the Manhattan Distance Heuristic)
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
PyPOTS - A Python Toolbox for Data Mining on Partially-Observed Time Series
A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing va
Pytools is an open source library containing general machine learning and visualisation utilities for reuse
pytools is an open source library containing general machine learning and visualisation utilities for reuse, including: Basic tools for API developmen
QML: A Python Toolkit for Quantum Machine Learning
QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and solids.
虚拟货币(BTC、ETH)炒币量化系统项目。在一版本的基础上加入了趋势判断
🎉 第二版本 🎉 (现货趋势网格) 介绍 在第一版本的基础上 趋势判断,不在固定点位开单,选择更优的开仓点位 优势: 🎉 简单易上手 安全(不用将api_secret告诉他人) 如何启动 修改app目录下的authorization文件
Fourier-Bayesian estimation of stochastic volatility models
fourier-bayesian-sv-estimation Fourier-Bayesian estimation of stochastic volatility models Code used to run the numerical examples of "Bayesian Approa
Bayesian optimization in JAX
Bayesian optimization in JAX