Reverse Dependencies of wandb

The following projects have a declared dependency on wandb:

• rec-pangu — Some Rank/Multi-task model implemented by Pytorch
• refiners — The simplest way to train and run adapters on top of foundation models
• regina-normalizer — A text normalization package for Icelandic
• reinforced-lib — Reinforcement learning library
• relik — Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
• research-framework — framework base para investigación
• retrain-pipelines — retrain-pipelines lowers the barrier to entry for the creation and management of professional machine learning retraining pipelines.
• retvec — Resilient and Efficient Text Vectorizer
• rev-reverb — A simplified python packge to interact with the reverb models
• rewardbench — Tools for evaluating reward models
• ReWord — Reorder word in English sentence to follow correct grammar
• rhizonet-package — Python package for RhizoNet-package
• ride — Training wheels, side rails, and helicopter parent for your Deep Learning projects using Pytorch
• rl-algo-impls — Implementations of reinforcement learning algorithms
• rl-games-y — no summary
• rl_temple — Toolbox for training RL agents
• rl-toolkit — RL-Toolkit: A Research Framework for Robotics
• rl4co — RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
• rlbcore — Common functionality for all rlbaselines projects
• rlhive — A package to support RL research
• rnl — RNL - Robot Navigation Learning
• robbytorch — Cool package for robust AI
• robocat — Robo CAT- Pytorch
• robot-awe — research project
• rocks-classifier — Rock classifier deployed on railway and monitored using Weights and Biases!
• rogerluo-duck — A software framework for the duck (operator learning) renormalization group.
• romatch_roicat — no summary
• rorf — no summary
• rr-infinigen — Infinite Photorealistic Worlds using Procedural Generation
• rslearn — A library for developing remote sensing datasets and models
• rsmine — Optimal coarse graining transformations with RSMI neural estimation
• rsmtool — Rater scoring modeling tool
• rt2 — rt-2 - PyTorch
• rtk-mult-clf — no summary
• RTV-Pie — new python package for data preprocessing
• rtvpy — new python package for data preprocessing
• run-stardist — Train and use StarDist models
• sa-app — Sentiment analyzer app
• sabathdev — no summary
• safe-mol — Implementation of the 'Gotta be SAFE: a new framework for molecular design' paper
• sc-heimdall — Heimdall: A Comprehensive Paradigm for Evaluating Single-Cell Representations within Foundational Models
• scalingtheunet — This project is the source code to our paper.
• SciAssist — A toolkit for Scientific Document Processing
• sciwing — Modern Scientific Document Processing Framework
• scope-ml — SCoPe: ZTF Source Classification Project
• scprint — scPRINT is a Large Cell Model for Gene Network Inference, Denoising and more from scRNAseq data
• scsims — Scalable, Interpretable Deep Learning for Single-Cell RNA-seq Classification
• scyan — Single-cell Cytometry Annotation Network
• sdcd — Stable differentiable causal discovery for interventional data.
• sdfest — 6-DoF pose, scale, and shape estimation architecture
• sdo-cli — An ML practitioner's utility for working with SDO data.
• sdriving — Design multi-agent environments and simple reward functions such that social driving behavior emerges
• segar — no summary
• seidr — Synthesize Execute Instruct Debug Rank
• semilearn — Unfied Semi-Supervised Learning Benchmark
• sentia — A text generation model combining multiple neural network architectures
• separability — LLM Tools for looking at separability of LLM Capabilities
• seperability — Seperability of LLM Capabilities
• seq2squiggle — End-to-end simulation of nanopore sequencing signals with feed-forward transformers
• sequel-core — A Continual Learning Framework for both Jax and PyTorch.
• sequence-metrics — A set of metrics for Sequence Labelling tasks
• sgmse — Speech enhancement model using SGMSE
• shazbot — Sound Hierarchy Attribute Zeitgeist Before Oligarchy Take
• short-poetry — no summary
• shtec-rlhf — shtec-rlhf: Safe Reinforcement Learning from Human Feedback
• signaturenet — Package to manipulate mutational processes.
• signaturesnet — Package to manipulate mutational processes.
• sim_rl — Simulation Driven RL Package Utilized to Optimize Queueing Systems
• simba-ml — Simulation-Based Machine Learning
• simpletransformers — An easy-to-use wrapper library for the Transformers library.
• simpletransformers-fork-trialandsuccess — An easy-to-use wrapper library for the Transformers library. FORK: This fork adds T5TokenizerFast and umT5 support.
• simpletransformers-le — An easy-to-use wrapper library for the Transformers library.
• simplifine-alpha — An easy to use, open-source LLM finetuning library that handles all the complexities of the process for you.
• SimsysDNLP — A deep learning natural language processing service for simulating different systems (normal-parallel-single server).
• sinergym — Sinergym provides a Gymnasium-based interface to interact with building simulations. This allows control in simulation time through custom controllers, including reinforcement learning agents
• singd — KFAC-like Structured Inverse-Free Natural Gradient Descent
• singleline-models — ML Models for Single-Line Drawings
• skll — SciKit-Learn Laboratory makes it easier to run machine learning experiments with scikit-learn.
• skorch — scikit-learn compatible neural network library for pytorch
• skwdro — A Robust ML toolbox
• sleepkit — AI driven sleep monitoring kit for ultra low-power wearables.
• slg-nimrod — minimal deep learning framework
• SLP — Speech, Language and Multimodal Processing models and utilities in PyTorch
• slurm-to-wandb — Uploads SLURM job information to WandB for better monitoring.
• smol-sae — Minimal implementation of SAEs
• snaxlib — A simple deep learning library for JAX.
• snp-transformer — SNP Transformer
• solo-learn — no summary
• span-marker — Named Entity Recognition using Span Markers
• sparse_autoencoder — Sparse Autoencoder for Mechanistic Interpretability
• speedlogger — A Python tool to monitor and log internet speeds using WandB.
• splat-trainer — Gaussian Splatting scene reconstruction with taichi-splatting
• spotiflow — Accurate and efficient spot detection for microscopy data
• spwk-cartesius — Benchmark & Pretraining for Cartesian coordinates feature extraction
• squirrel-core — Squirrel is a Python library that enables ML teams to share, load, and transform data in a collaborative, flexible and efficient way.
• stable-audio-tools — Training and inference tools for generative audio models from Stability AI
• stepcutis — A document analysis program
• stepGOT — Towards OCR-2.0.
• strnn — PyTorch package for Structured Neural Networks.
• strnn-hv — PyTorch package for Structured Neural Networks.