Reverse Dependencies of wandb

The following projects have a declared dependency on wandb:

• nvflare — Federated Learning Application Runtime Environment
• nvflare-light — Federated Learning Application Runtime Environment
• nvidia-modulus — A deep learning framework for AI-driven multi-physics systems
• nvidia-modulus.launch — Optimized tranining recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
• NWUcellsr — Your SDK description
• oat-llm — Online AlignmenT (OAT) for LLMs.
• ochat — An efficient framework for training and serving top-tier, open-source conversational LLMs.
• oh-my-bloom — 中文BLOOM语言模型
• ohara — A collection of implementations of LLM, papers, and other models.
• omdenalore — AI for Good library
• omnisafe — A comprehensive and reliable benchmark for safe reinforcement learning.
• open-flamingo — An open-source framework for training large multimodal models
• openaicustomiz — Python client library for the OpenAI API
• openbb-chat — Deep learning package to add chat capabilities to OpenBB
• openchatkit — OpenChatKit - a powerful, open-source base to create both specialized and general purpose chatbots
• OpenELM — Evolution Through Large Models
• openlmai — Python client library for the OpenAI API
• opennn-pytorch — Neural Networks library for image classification task.
• openretina — Open source retina model architectures and training setups
• openrl — unified reinforcement learning framework
• openrlbenchmark — no summary
• openrlbenchmark-nightly — no summary
• openrlhf — A Ray-based High-performance RLHF framework.
• opensoundscape — Open source, scalable acoustic classification for ecology and conservation
• openspeech-core — Open-Source Toolkit for End-to-End Automatic Speech Recognition
• openspeech-py — Open-Source Toolkit for End-to-End Automatic Speech Recognition
• openspeechs — Open-Source Toolkit for End-to-End Automatic Speech Recognition
• openue — An open toolkit of universal extraction from text.
• openvalidators — Openvalidators is a collection of open source validators for the Bittensor Network.
• openvalidators-test — Openvalidators is a collection of open source validators for the Bittensor Network.
• opro — Python client library for the OpenAI API
• oproai — Python client library for the OpenAI API
• opscape — Python client library for the OpenAI API
• optuna-integration — Integration libraries of Optuna.
• osrl-lib — Elegant Implementations of Offline Safe Reinforcement Learning Algorithms
• otter-ai — Otter: A Multi-Modal Model with In-Context Instruction Tuning
• otxmmaction2 — OpenMMLab Video Understanding Toolbox and Benchmark
• package-testinggggg0.0001 — no summary
• paella — paella - Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces
• palkit — Useful functions.
• pamai — Package for PAMAI written by Arthur Zucker and Chris Rauch.
• papermage — Papermage. Casting magic over scientific PDFs.
• papersweep — Combining papermill and wandb sweeps for frictionless experiments with Notebooks
• parallel-corpus-mnbvc — parallel corpus dataset from the pypi repository of the mnbvc project
• pdf2dataset-tools — Easily turn a set of pdf urls to an pdf dataset.
• perturbers — Perturber models for neural data augmentation.
• pibrary — A package of reusable code for ML projects.
• pinjected-wandb — Add your description here
• pistacchio-federated-dataset — A simple library to partition your dataset to perform federated learning
• plancraft — Plancraft: an evaluation dataset for planning with LLM agents
• plant-pathology — My submission the (completed) Plant Pathology 2020 competition on Kaggle.
• plasmidai — The largest open-source library to develop plasmid foundation models and generate novel plasmids using machine learning.
• playtest — A library for rapid prototyping of boardgames.
• pocketsizefund — Open source quantitative trading
• pogema-toolbox — Evaluation toolbox for Pogema environment
• pokegym — Pokemon Red Gymnasium environment for reinforcement learning
• polony — no summary
• polos — [CVPR24] Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
• polus — A tensorflow based framework for training deep learning models
• poniard — Streamline scikit-learn model comparison
• popgym — A collection of partially-observable procedural gym environments
• power-cogs — A set of useful research templates for deep learning projects
• prefigure — Run configuration management utils: combines configparser, argparse, and wandb.API
• presto-multiverse — Presto: Projected Embedding Similarty based on Topological Overlays
• progen-transformer — Protein Generation (ProGen)
• proteinworkshop — no summary
• Protenix — A trainable PyTorch reproduction of AlphaFold 3.
• provision-ai — AI experiment provisioner
• psycop-feature-generation — no summary
• psycopmlutils — A collection of machine-learning utilities used across the psycop-projects.
• ptpt — PyTorch Personal Trainer: My personal framework for deep learning experiments
• PVNet — PVNet
• PVNet-summation — PVNet_summation
• py-dreambooth — Easily create your own AI avatar images!
• pycoder — A package to generate Python code from given topics and description
• pyg-multiagent — Python Package for Multi-Agent Learning
• pyg-nightly — Graph Neural Network Library for PyTorch
• pykeen — A package for training and evaluating multimodal knowledge graph embeddings
• pykt-toolkit — pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
• pyreft — REFT: Representation Finetuning for Language Models
• pyroml — Machine Learning tool allowing plug-and-play training for pytorch models
• pyrovision — Datasets and models for wildfire detection in PyTorch
• pytorch-cortex — A modular architecture for deep learning systems.
• pytorch-holo — Benchmarks for discrete sequence optimization
• pytorch-hyperlight — PyTorch Hyperlight is ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.
• pytorch-lightning-bolts — Deprecated in favor of Lightning Bolts - https://pypi.org/project/lightning-bolts
• pytorch-ssd — Single Shot Multi-Box Detector implementation in PyTorch
• pytorch-tabular — A standard framework for using Deep Learning for tabular data
• pytorch-yard — PyTorch experiment runner
• qcog-python-client — qcog python client
• qkogpt — Quantized KoGPT
• qLEET — qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability and Training trajectories of noisy parameterized quantum circuits.
• quanda — Toolkit for quantitative evaluation of data attribution methods in PyTorch.
• quasarx — quasar - Pytorch
• quickdraws — Quickdraws is a software tool for performing Genome-Wide Association Studies (GWAS)
• qusi — no summary
• QYtool — My own toolbox for research projects.
• ranzen — A toolkit facilitating machine-learning experimentation.
• rapidai — wrapper library on top of PyTorch
• ready-steady-go — Synthetic Deep Learning GPU benchmark