Reverse Dependencies of optuna

The following projects have a declared dependency on optuna:

• starsim — A fast, flexible agent-based disease modeling framework
• stimulus-py — A package for testing deep learning models
• stisim — STI modelling toolbox built on the Starsim platform
• stockdatamanager — A comprehensive library for financial analysis
• stonesoup — A tracking and state estimation framework
• stonkgs — Sophisticated Transformers for Biomedical Text and Knowledge Graph Data
• stream-topic — A python package for expanded topic modeling and metrics
• swarmist — A DSL for building metaheuristics
• synthcity — Synthetic data generator and evaluator!
• synthdata — Generate synthetic data to fill, balance and expand datasets
• tablemage — A Python package for low-code analysis of tabular data
• tabmap — A Python package for tabular data analysis using TabMap.
• tabular-augmentation — Implementing easy-to-use methods for classical and novel tabular data augmentation and synthesis.
• tabular-ml — This library wraps popular tabular regression/classification model enabling rapid evaluation and optimization.
• tabular-ml-toolkit — A helper library to jumpstart your machine learning project based on tabular or structured data.
• tabularbench — TabularBench: Adversarial robustness benchmark for tabular data
• tafel — A python package to extract Tafel slope
• TALENT-PyTorch — TALENT: A Tabular Analytics and Learning Toolbox
• tango-mlflow — MLflow integration for ai2-tango
• teddynote — datasets and tutorial package made and maintained by TeddyNote
• temporai — TemporAI: ML-centric Toolkit for Medical Time Series
• tensoraerospace — Open source deep learning framework that focuses on aerospace objects (rockets, planes, UAVs)
• TeremokTSLib — Easy-to-use box ML solution for forcasting consumption
• test_ci_release — A tool for automatically configuring a text classification pipeline for intent prediction.
• test_pkg_hmoazam — DSPy
• testgailbot002 — GailBot API
• testgailbotapi — GailBot Test API
• testgailbotapi001 — GailBot Test API
• textpredict — TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more.
• TezzAutoML — Just another AutoML library, but better and faster.
• tftk — Machine Learning Toolkit using TensorFlow
• tfyolo — Series yolo detection in TensorFlow
• thegolem — Framework for Graph Optimization and Learning by Evolutionary Methods
• thu-big-data-ml — 这是本人学习清华大学70240403-200大数据机器学习课程的开源工作，包括对往期Assignment的实现、对Lecture的笔记与理解、对即将来的Project的实现等，欢迎各位同学一起学习一起讨论，对知识取得更好的理解。
• TIdeS-ML — Tool for ORF-calling and ORF-classification using ML approaches
• time-interpret — Model interpretability library for PyTorch with a focus on time series.
• TimeMurmur — Time series forecasting at scale with LightGBM
• TiRank — A comprehensive analysis tool for transfering phenotype of bulk transcritomic data to single cell or spatial transcriptomic data.
• tknlp — no summary
• tmnt — Topic modeling neural toolkit
• tmu — Your project description
• tn4ml — Tensor Networks for Machine Learning
• torch-pgn — Proximity Graph Networks: Predicting ligand affinity with Message Passing Neural Networks
• torch-submit — A tool for submitting and managing distributed PyTorch jobs
• torchal — A codebase for active learning built on top of pycls.
• torchapp — A wrapper for fastai projects to create easy command-line inferfaces and manage hyper-parameter tuning.
• torchtemplates — A package to create pytorch projects quickly
• total-points-model — Train an AFL Total Points model
• tpcp — Pipeline and Dataset helpers for complex algorithm evaluation.
• tpk — TempportalPredictionsKit: toolset for timeseries data predictions
• tpot — Tree-based Pipeline Optimization Tool
• TPOT2 — Tree-based Pipeline Optimization Tool
• tradeforce — Tradeforce is a comprehensive Python trading framework designed for high-performance backtesting, hyperparameter optimization, and live trading.
• trainme — tune with optuna and model
• transformers — State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
• transformers-rlfh — RLFH with transformers
• transfusion — Transformers 🤝 diffusion
• truesight — Truesight is a python package for time series prediction using deep learning and statistical models.
• tune — An abstraction layer for hyper parameter tuning
• tune-easy — tune-easy: A hyperparameter tuning tool, extremely easy to use.
• tuneta — Optimize financial technical indicators for machine learning
• tuneup — Global optimizer comparison and combination
• tuning — 调参工具
• turintech-evoml-metaml — Set of meta machine learning models by unifying the interface of different machine learning libraries based on the Scikit-learn API protocol
• turintech-evoml-python-dependencies — Set of meta machine learning models by unifying the interface of different machine learning libraries based on the Scikit-learn API protocol
• twinbooster — Python package for TwinBooster: Synergising Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug Discovery
• universal-evasion-attacks — Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems.
• upnlp — A package designed to support NLP teaching at graduate level
• utils-for-ds — common used functions for Data Scientist
• veda-lib — veda_lib is a Python library designed to streamline the data preprocessing and cleaning workflow for machine learning projects. It offers a comprehensive set of tools to handle common data preparation tasks
• versatile-evasion-attacks — Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems.
• vimms — A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics.
• vp-suite — A Framework for Training and Evaluating Video Prediction Models
• vtorch — NLP research library, built on PyTorch.
• wandb — A CLI and library for interacting with the Weights & Biases API.
• welqrate — The official implementation of the WelQrate dataset and benchmark
• whisper-lm-transformers — Add language model support to HF Transformers' Whisper models
• wizata-dsapi — Wizata Data Science Toolkit
• ws-benchmark — a weak supervision learning benchmark
• wsmf — Package with encoder-based approaches to warm-starting Bayesian Hyperparameter Optimization.
• XeroGraph — A Python implementation of Little's MCAR test, MAR vs MNAR analysis, missing value visualization and imputation
• XeroML — A data management platform
• xfeat — Feature Engineering & Exploration Library using GPUs and Optuna
• xgboostlss — XGBoostLSS - An extension of XGBoost to probabilistic modelling.
• xputer — An XGBoost powered robust imputer
• xumx-slicq-v2 — V2 of my original sliCQT adaptation of Open-Unmix
• yangke — 个人工具综合平台，包含常用工具，网络爬虫，知识图谱，神经网络预测等工具
• yikit — This is my own tool kit.
• yotuyu — no summary