Generalized and Efficient Blackbox Optimization System.
☆86Feb 21, 2023Updated 3 years ago
Alternatives and similar repositories for open-box
Users that are interested in open-box are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture sear…☆61Jan 26, 2022Updated 4 years ago
- Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)☆441Mar 28, 2026Updated 2 months ago
- An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture sear …☆64Nov 11, 2025Updated 6 months ago
- Efficient Hyper-parameter Tuning at Scale (VLDB'22)☆10Dec 1, 2021Updated 4 years ago
- QQ浏览器2021AI算法大赛赛道二 第1名 方案. Rank 1st solution to QQ Browser 2021 AI Algorithm Competition (CIKM AnalytiCup 2021) Track 2 Automated Hyperpa…☆26Dec 7, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- DMALab's reading group slides and papers.☆16Jun 8, 2021Updated 4 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157May 10, 2024Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Jun 25, 2022Updated 3 years ago
- [IROS 2025] SIME: Enhancing Policy Self-Improvement with Modal-level Exploration☆17Mar 2, 2026Updated 2 months ago
- Repository of Jupyter Notebooks on Colab, Binder and Huggingface for Bio, Chemistry and Physics☆13Jul 29, 2023Updated 2 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Nov 27, 2016Updated 9 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆10Nov 10, 2020Updated 5 years ago
- ☆13Nov 26, 2021Updated 4 years ago
- Survey on Data-centric Large Language Models☆92Jul 8, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams☆15Jul 7, 2024Updated last year
- This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing proces…☆12Jan 2, 2023Updated 3 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆223May 18, 2026Updated last week
- Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval☆16Mar 1, 2022Updated 4 years ago
- [NeurIPS 2025 D&B Track] MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research☆29May 8, 2026Updated 3 weeks ago
- Paper repository for "SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning" (EDBT 2022)☆40Jul 12, 2025Updated 10 months ago
- ☆231Jul 25, 2024Updated last year
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Aug 29, 2022Updated 3 years ago
- Repository for the SCS Spring School on Digital Chemistry☆21Apr 24, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Aug 20, 2021Updated 4 years ago
- Augmented Memory and Beam Enumeration implementation☆27Jun 9, 2024Updated last year
- Accelerating Distributed Machine Learning with Data Sketches☆17Nov 12, 2018Updated 7 years ago
- ☆31Sep 17, 2024Updated last year
- Tensorflow 2.0 Implement of AnimeGAN☆12Apr 26, 2020Updated 6 years ago
- A Python implementation of global optimization with gaussian processes.☆13Feb 15, 2022Updated 4 years ago
- Dataflow-MM, multi-media operators for Dataflow. We aim to prepare data for Multimodal Large Language Models.☆40Apr 13, 2026Updated last month
- Optimizing Hyperparameters with Conformal Quantile Regression☆11May 22, 2023Updated 3 years ago
- Autonomous robot exploration in unknown outdoor environment☆10Nov 13, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A SQL Query Similarity Metric Benchmark☆16Apr 22, 2018Updated 8 years ago
- ☆13May 18, 2022Updated 4 years ago
- Big Data and Machine Intelligence, Spring 2021.☆12Jul 2, 2021Updated 4 years ago
- Machine learning exercises for the MolSim course (http://www.acmm.nl/molsim/molsim2023/index.html)☆28Jan 16, 2024Updated 2 years ago
- ☆24Jul 24, 2023Updated 2 years ago
- A C++ Package for Solving Multiple-Phase Optimal Control Problem Using Adaptive Radau Pseudospectral Methods☆10Aug 31, 2020Updated 5 years ago
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆19Apr 21, 2025Updated last year