🦉 Data Versioning and ML Experiments
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reproducibility
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The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
data-science machine-learning reinforcement-learning ai deep-learning tensorflow keras collaboration pytorch hyperparameter-optimization reproducibility hyperparameter-tuning data-versioning hyperparameter-search model-versioning jax mlops experiment-track ml-platform
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PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
config template deep-learning best-practices pytorch hydra reproducibility project-structure mlops pytorch-lightning
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Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
python infrastructure machine-learning mongodb reproducible-research reproducible-science reproducibility
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Accelerated deep learning R&D
python infrastructure machine-learning natural-language-processing information-retrieval research reinforcement-learning computer-vision deep-learning text-classification distributed-computing image-processing pytorch image-classification metric-learning recommender-system object-detection image-segmentation reproducibility text-segmentation
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This is the development home of the workflow management system Snakemake. For general information, see
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A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
reinforcement-learning unity mcp physics quantum wolfram-alpha proof-assistant cosmology astrophysics lean photon bayesian-inference reproducibility agora fastapi openxr lean4 ready-player-me xri vr-office
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Dev environments for numerous languages based on Nix flakes [maintainer=@lucperkins]
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A toolkit for reproducible reinforcement learning research.
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☁️ 🚀 📊 📈 Evaluating state of the art in AI
python angularjs docker challenge coveralls machine-learning django ai travis-ci reproducible-research leaderboard evaluation artificial-intelligence ai-challenges codecov reproducibility evalai
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Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
benchmarking reproducible-research pytorch comparison vae pixel-cnn reproducibility beta-vae vae-gan normalizing-flows variational-autoencoder vq-vae wasserstein-autoencoder vae-implementation vae-pytorch
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The collaboration workspace for Machine Learning
data-science machine-learning deep-learning mxnet tensorflow models machine-learning-algorithms pytorch artificial-intelligence deeplearning reproducibility mlops mlops-environment
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A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.
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An R-focused pipeline toolkit for reproducibility and high-performance computing
workflow data-science r pipeline reproducible-research makefile high-performance-computing rstats r-package reproducibility ropensci drake peer-reviewed
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Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]
nodejs rust nix nixos reproducibility hacktoberfest package-management lang2nix dream-to-nix 2nix nix-community-buildbot
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Presentation-Ready Data Summary and Analytic Result Tables
r statistics html5 reproducible-research rstats easy-to-use r-package reproducibility regression-models gt summary-statistics tableone table1 summary-tables
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High-fidelity performance metrics for generative models in PyTorch
reproducible-research metrics evaluation pytorch gan generative-model reproducibility precision inception-score frechet-inception-distance kernel-inception-distance perceptual-path-length
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Function-oriented Make-like declarative workflows for R
workflow data-science r pipeline reproducible-research high-performance-computing make rstats r-package reproducibility targets peer-reviewed r-targetopia
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This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet
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Create highly reproducible python environments
python nix nixos nixpkgs reproducibility python-packages python-environment mach-nix nix-expression python-deps
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