Code repository for the online course Hyperparameter Optimization for Machine Learning
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Updated
Apr 27, 2024 - Jupyter Notebook
Code repository for the online course Hyperparameter Optimization for Machine Learning
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Real-time Web Dashboard for Optuna.
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
📘 The MLOps stack component for experiment tracking
Python library for CMA Evolution Strategy.
Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.
A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
QSARtuna: QSAR model building with the optuna framework
Train, evaluate, and optimize implicit feedback-based recommender systems.
A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
Search for a model and corresponding hyperparameters that best model your data
PyTorch-Lightning Library for Neural News Recommendation
Make GNN easy to start with
Trying PostgreSQL parameter tuning using machine learning.
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