Reverse Dependencies of wandb

The following projects have a declared dependency on wandb:

• abcdrl — Modular Single-file Reinfocement Learning Algorithms Library
• abnativ — AbNatiV: a VQ-VAE-based assessment of the nativeness of antibodies.
• ac_solver — no summary
• accelerate — Accelerate
• accord-nlp — ACCORD-NLP: Transformer/language model-based information extraction from regulatory text
• achatbot — An open source chat bot for voice (and multimodal) assistants
• active-pre-train-ppg — Unsupervised pre-training with PPG
• adjutant-discord — A package for managing ML experiments over Discord in conjunction with WandB.
• advanced-data-processing — An advanced data processing pipeline for machine learning workflows
• aeiou — audio engineering i/o utils
• africanwhisper — A framework for fast fine-tuning and API endpoint deployment of Whisper model specifically developed to accelerate Automatic Speech Recognition(ASR) for African Languages.
• agent-torch — large population models
• agilerl — AgileRL is a deep reinforcement learning library focused on improving RL development through RLOps.
• ai2-olmo — Open Language Model (OLMo)
• ai2-olmo-core — Core training module for the Open Language Model (OLMo)
• ai2-tango — A library for choreographing your machine learning research.
• aidd-codebase — High-level codebase for deep learning development in drug discovery.
• aideate-blade — web content aideate_scraper
• aikoai — Python client library for the AikoAI API
• aimet-ml — Python package of frequently used modules for ML developments in AIMET..
• aimnet — AIMNet Machine Learned Interatomic Potential
• aitoolbox — PyTorch Model Training and Experiment Tracking Framework
• aixd — AI-eXtended Design (AIXD)
• algorithms-ai — no summary
• alignMAP — Multi-Human-Value Alignment Palette (MAP) offers a first-principle approach to align AI systems with diverse, dynamically defined human values.
• allennlp — An open-source NLP research library, built on PyTorch.
• allin1 — All-In-One Music Structure Analyzer
• alpaca-farm — no summary
• alphafold3-pytorch-lightning-hydra — AlphaFold 3 - Pytorch
• amplfi — Accelerated Multi-messenger PE with Likelihood Free Inference
• angle-emb — AnglE-optimize Text Embeddings
• anhaltai-commons-pl-hyper — Commons PyTorch Lightning Trainer for Hyperparmater Optimization
• anomalib — anomalib - Anomaly Detection Library
• anomalib-orobix — Orobix anomalib fork
• antgrid-server — A package for registering servers in Antgrid.
• anyGPT — A general purpose library for training any type of GPT model. Support for gpt-1, gpt-2, and gpt-3 models.
• appfl — An open-source package for privacy-preserving federated learning
• artificial-detection — Python framework for artificial text detection with NLP approaches.
• ASRChild — Package for ASRChild
• astrochem-embedding — Language models for astrochemistry
• astroramjet — no summary
• atommic — Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC)
• atr-dan — Teklia DAN
• audio2dataset — A python template
• audiolm-pytorch — AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch
• audiolm-superfeel — AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch
• audiossl — no summary
• autodistill-codet — CoDet model for use with Autodistill
• availai — A library for computer vision and machine learning
• avalanche-lib — Avalanche: a Comprehensive Framework for Continual Learning Research
• avalon-rl — Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
• axlearn — AXLearn
• axolotl — LLM Trainer
• bauwerk — Simple building control environments for reinforcement learning.
• bbrl-algos — BBRL algos, a library of reinforcement learning algorithms
• beliefppg — Taking multi-channel PPG and Accelerometer signals as input, BeliefPPG predicts the instantaneous heart rate and provides an uncertainty estimate for the prediction.
• bellek — My digital memory
• benchmarx — Tools for benchmarking optimization methods
• beobench — Beobench is a toolkit providing easy and unified access to building control environments for reinforcement learning (RL).
• bfas — Brute Force Architecture Search
• bio-corgi — Classifier for ORganelle Genomes Inter alia
• bioimage_embed — no summary
• biopytorch — PyTorch implementation of Hebbian "Bio-Learning" convolutional layers
• birdset — BirdSet: A multi-task benchmark and data pipeline for deep learning based avian bioacoustics
• birm-nm-foo — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• bitfount — Machine Learning and Federated Learning Library.
• bitorch — A package for building and training quantized and binary neural networks with Pytorch
• blackhc.project — Notebook setup code
• blade2blade — Adversarial Training and SFT for Bot Safety Models
• blades — A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
• blette — Edge Detection Toolbox and Benchmark
• bnpm — A library of useful modules for data analysis.
• boltz — Boltz-1
• bootleg — Bootleg NED System
• bpnet — BPNet: toolkit to learn motif synthax from high-resolution functional genomics data using convolutional neural networks
• buildings-bench — Large-scale pretraining and benchmarking for short-term load forecasting.
• BuilT — Easily build your trainer for DNNs.
• capibara-ent — A flexible multimodal AI library for advanced contextual understanding and deployment.
• capibara-model — A State Space and Mamba-based language model framework
• careamics — Toolbox for running N2V and friends.
• cat-spend-training-pipeline — no summary
• catalyst — Catalyst. Accelerated deep learning R&D with PyTorch.
• catalyst-pdm — Catalyst fork compatible with PDM
• ccsd — CCSD (Combinatorial Complex Score-based Diffusion) is a sophisticated score-based diffusion model designed to generate Combinatorial Complexes using Stochastic Differential Equations. This cutting-edge approach enables the generation of complex objects with higher-order structures and relations, thereby enhancing our ability to learn underlying distributions and produce more realistic objects.
• cehrbert — CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
• celldisect — Cell DISentangled Experts for Covariate counTerfactuals (CellDISECT). Causal generative model designed to disentangle known covariate variations from unknown ones at test time while simultaneously learning to make counterfactual predictions.
• cfrl — no summary
• changing-dot — ChangingDot Repo
• chatgt — Python client library for the OpenAI API
• chemeleon — A Text-guided Crystal Structure Generation Model
• ChemSpaceAL — ChemSpaceAL Python package: an efficient active learning methodology applied to protein-specific molecular generation
• clarinpl-embeddings — no summary
• classy-core — A powerful tool to train and use your classification models.
• clddp — A package for training and doing inference with contrastive learning with multiple GPUs (Pytorch-DDP).
• cleanrl — High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
• clementine — 🍊 A sweet little Python package
• climate-learn — ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
• clip-inference — clip 数据推理
• clip-jax — Training of CLIP in JAX
• clip-retrieval — Easily computing clip embeddings and building a clip retrieval system with them