optuna

HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.

Real-time Web Dashboard for Optuna.

📘 The experiment tracker for foundation model training

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.

Python library for CMA Evolution Strategy.

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

[参赛队伍] TAAC 2026 腾讯广告算法大赛 X KDD 2026

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.

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.

Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE expert-granular abliteration, optimized via multi-objective Optuna TPE.

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

Code repository for the online course Hyperparameter Optimization for Machine Learning

Make GNN easy to start with

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

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

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.

🔍 Lookup classes and instantiate them with style

An intelligent tuner for vLLM that automatically monitors GPU metrics, uses Bayesian optimization to tune parameters

PyTorch-Lightning Library for Neural News Recommendation

Lightweight Python tool using Optuna for tuning llama.cpp flags: towards optimal tok/s for your machine