📘 The experiment tracker for foundation model training

• UpdatedMar 6, 2025
• Python

Real-time Web Dashboard for Optuna.

• UpdatedMar 11, 2025
• TypeScript

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

• UpdatedOct 13, 2023
• Python

Python library for CMA Evolution Strategy.

• UpdatedNov 12, 2024
• Python

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.

• UpdatedFeb 1, 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.

• UpdatedMar 1, 2025
• Jupyter Notebook

Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.

• UpdatedMar 10, 2025
• Python

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.

• UpdatedMar 10, 2025
• Python

Make GNN easy to start with

• UpdatedFeb 20, 2025
• Jupyter Notebook

Code repository for the online course Hyperparameter Optimization for Machine Learning

• UpdatedSep 24, 2024
• Jupyter Notebook

QSARtuna: QSAR model building with the optuna framework

• UpdatedOct 25, 2024
• Jupyter Notebook

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

• UpdatedMar 3, 2025
• Jupyter Notebook

🔍 Lookup classes and instantiate them with style

• UpdatedNov 2, 2024
• Python

PyTorch-Lightning Library for Neural News Recommendation

• UpdatedJul 25, 2024
• 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.

• UpdatedJun 17, 2022
• Jupyter Notebook

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

• UpdatedJan 13, 2023
• Jupyter Notebook

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

• UpdatedNov 23, 2021
• Python

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

• UpdatedApr 1, 2020
• Python

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

• UpdatedMar 13, 2025
• Python

Train, evaluate, and optimize implicit feedback-based recommender systems.

• UpdatedJun 3, 2023
• Python