optuna
There are 365 repositories under optuna topic.
neptune-ai/neptune-client
📘 The experiment tracker for foundation model training
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
jmrichardson/tuneta
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
kochlisGit/ProphitBet-Soccer-Bets-Predictor
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.
cmunch1/nba-prediction
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.
DogsTailFarmer/martin-binance
Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.
zh320/realtime-semantic-segmentation-pytorch
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.
MobileTeleSystems/CoolGraph
Make GNN easy to start with
solegalli/hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
MolecularAI/QSARtuna
QSARtuna: QSAR model building with the optuna framework
neptune-ai/examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
cthoyt/class-resolver
🔍 Lookup classes and instantiate them with style
andreeaiana/newsreclib
PyTorch-Lightning Library for Neural News Recommendation
weiji14/deepbedmap
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.
rakesh-yadav/PyTorch-RNN-Tutorial
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
himkt/allennlp-optuna
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
Minyus/optkeras
OptKeras: wrapper around Keras and Optuna for hyperparameter optimization
tohtsky/irspack
Train, evaluate, and optimize implicit feedback-based recommender systems.
ArpanBiswas99/Battery-State-of-Charge-Estimation
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.
RoccoJay/Audio_to_Emotion
Classifying Audio to Emotion
StefanieStoppel/pytorch-mlflow-optuna
Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.
laowu-code/iTansformer_LSTM_CrossAttention_KAN
This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
nzw0301/optuna-wandb
Example codes in the medium post titled "Optuna meets Weights and Biases."
ssl-oyamata/postgres_opttune
Trying PostgreSQL parameter tuning using machine learning.
telekom/HPOflow
Tools for Optuna, MLflow and the integration of both.
elena-ecn/optuna-optimization-for-PyTorch-CNN
Hyperparameter optimization study for a PyTorch CNN with Optuna.
AsakoKabe/AdeleCV
Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.
prateekagrawaliiit/100-Days-of-ML
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
doesburg11/PredPreyGrass
A Predator-Prey-Grass multi-agent gridworld environment implemented with Farama's Gymnasium, PettingZoo and MOMAland. Featuring dynamic spawning and deletion and partial observability of agents.
fsmosca/Optuna-Game-Parameter-Tuner
A game search and evaluation parameter tuner using optuna framework
RektPunk/RektGBM
No-brainer model combining LightGBM and XGBoost with hyperparameter tuning using Optuna.
SudipBishwakarma/MSc-Dissertation-2021
Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.
galatolofederico/easyopt
zero-code hyperparameters optimization framework
lezzhov/learning_to_rank
Building and evaluating a ranking model using the MSLR-WEB10K dataset
telekom/mltb2
Machine Learning Toolbox 2