optuna

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

UpdatedJan 17, 2026
Python

jmrichardson /tuneta

Star457

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

UpdatedOct 13, 2023
Python

cmunch1 /nba-prediction

Star289

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

UpdatedFeb 20, 2026
Jupyter Notebook

zh320 /realtime-semantic-segmentation-pytorch

Star244

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

UpdatedSep 18, 2025
Python

DogsTailFarmer /martin-binance

Star220

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

UpdatedJan 29, 2026
Python

solegalli /hyperparameter-optimization

Star140

Code repository for the online course Hyperparameter Optimization for Machine Learning

python data-science machine-learning hyperparameter-optimization hyperopt optuna scikit-optimize

UpdatedSep 24, 2024
Jupyter Notebook

MobileTeleSystems /CoolGraph

Star134

Make GNN easy to start with

graph graph-algorithms graphs embbedings graphembedding graph-neural-networks mlflow gnn optuna graphconv torchgeometric

UpdatedJan 30, 2026
Jupyter Notebook

laowu-code /iTansformer_LSTM_CA_KAN

Star99

This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

lstm forecasting solar multivariate pv kan tcn optuna cross-attention itransformer

UpdatedJun 17, 2025
Python

neptune-ai /examples

Star87

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

visualization tracker metadata tracking experiment dashboard jupyter tensorflow sklearn store keras ml pipelines pandas pytorch xgboost compare fastai mlops optuna

UpdatedOct 27, 2025
Jupyter Notebook

cthoyt /class-resolver

Sponsor

Star68

🔍 Lookup classes and instantiate them with style

python utility pytorch optuna

UpdatedFeb 16, 2026
Python

ArpanBiswas99 /Battery-State-of-Charge-Estimation

Star63

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

UpdatedJan 22, 2024
Jupyter Notebook

andreeaiana /newsreclib

Star60

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

UpdatedJun 6, 2025
Python

weiji14 /deepbedmap

Sponsor

Star45

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