Code repository for the online course Hyperparameter Optimization for Machine Learning
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Sep 24, 2024 - Jupyter Notebook
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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.
statistics deep-neural-networks neural-network random-forest pandas-dataframe machine-learning-algorithms soccer data-visualization seaborn football-data predictions soccer-matches imbalanced-learning feature-importance soccer-betting optuna feature-analysis imbalanced-learn interpretability-methods upcoming-games
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Feb 1, 2025 - Python
Real-time Web Dashboard for Optuna.
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Apr 24, 2025 - TypeScript
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
finance machine-learning correlation trading optimize stock-market hyperparameter-optimization stocks technical-analysis tune pareto-front technical-indicators trading-systems optuna
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Oct 13, 2023 - Python
Python library for CMA Evolution Strategy.
hyperparameter-optimization black-box-optimization evolution-strategy evolution-strategies cma-es optuna
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Apr 28, 2025 - Python
📘 The experiment tracker for foundation model training
visualization learning monitoring tensorflow logger machine logging foundation keras ml pytorch versioning comparison xgboost lightgbm rl dl mlops optuna llm
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Apr 17, 2025 - Python
Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.
api bot grid crypto telegram trading docker-image trading-bot grpc python3 cryptocurrency asyncio bitfinex algorithmic-trading backtesting-trading-strategies binance htx optuna bybit okx
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Apr 25, 2025 - Python
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.
python data-science machine-learning scikit-learn pandas xgboost webscraping nba-prediction lgbm github-actions optuna streamlit-webapp hopsworks
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May 4, 2025 - Jupyter Notebook
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training, Optuna etc.
real-time pytorch enet semantic-segmentation knowledge-distillation cityscapes distributed-training optuna
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Mar 10, 2025 - Python
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.
data-science binder chainer jupyter-notebook digital-elevation-model remote-sensing generative-adversarial-network super-resolution antarctica flat-file-db deep-neural-network glaciology pangeo optuna bedmap
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Jun 17, 2022 - Jupyter Notebook
QSARtuna: QSAR model building with the optuna framework
computational-chemistry compchem hyperparameter-optimization uncertainty-estimation qsar explainability optuna chemprop qsar-models peptide-modelling
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Oct 25, 2024 - Jupyter Notebook
PyTorch-Lightning Library for Neural News Recommendation
machine-learning deep-learning evaluation pytorch hydra recommender-system recommendation content-based-recommendation news-recommendation optuna pytorch-lightning wandb torchmetrics
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Jul 25, 2024 - Python
Train, evaluate, and optimize implicit feedback-based recommender systems.
eigen matrix-factorization hyperparameter-optimization recommender-systems pybind11 evaluation-framework knn-algorithm optuna
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Jun 3, 2023 - Python
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
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Feb 6, 2021 - Jupyter Notebook
This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) models along with optuna based hyperparameter tuning.
deep-neural-networks battery cnn dnn lstm fcn lstm-neural-networks optuna lithium-ion-batteries state-of-charge
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Jan 22, 2024 - Jupyter Notebook
A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
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Aug 8, 2021 - HTML
Search for a model and corresponding hyperparameters that best model your data
data-science machine-learning sklearn model-selection hyperparameter-optimization optuna metaheuristic-optimisation
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Jun 22, 2024 - Python
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