Reverse Dependencies of wandb

The following projects have a declared dependency on wandb:

• mdlearn — Machine learning for molecular dynamics.
• med-seg-diff-pytorch — MedSegDiff - SOTA medical image segmentation - Pytorch
• medflux — Temporal modeling of patients and diseases
• medgpt — Temporal modeling of patients and diseases
• MedicalMultitaskModeling — Multitask learning framework for medical data
• medicraft — Medicraft synthetic dataset generator
• meds-torch — A MEDS PyTorch Dataset, leveraging a on-the-fly retrieval strategy for flexible, efficient data loading.
• medusa-llm — Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
• mengzi-zero-shot — NLU & NLG (zero-shot) depend on mengzi-t5-base-mt
• mergekit — Tools for merging pre-trained large language models
• metagentools — Set of tools used for metagenomics research project
• metatreelib — PyTorch Implementation for MetaTree: Learning a Decision Tree Algorithm with Transformers
• mi — description
• miiiii — mechanistic interpretability of irriducible integer identifiers
• minestudio — A simple and efficient Minecraft development kit.
• minihack — MiniHack The Planet: A Sandbox for Open-Ended Reinforcement Learning Research
• minimax-lib — Efficient baselines for autocurricula in JAX
• minka-johann-haselberger — The minka package
• mip-training-pipeline — no summary
• MiSeCom — Detect if the English has missing sentence components such as Subject, Verb, Object
• ml-leoxiang66 — A package of RL algorithms
• ml-project-tracker — A package for tracking the ML projects
• ml-solution — A mechine learning pipeline lib.
• ml-swissknife — Reusable ML research primitives for fast prototyping.
• ML2 — Machine Learning for Mathematics and Logics
• mle-logging — Machine Learning Experiment Logging
• mlm-task-for-contextual-embedding — a machine learning project for mlm task for contextual embedding
• mloggers — A collection of loggers well-suited for machine learning experiments.
• mlops_training_pipeline — no summary
• mlopsrobotics — no summary
• mlpforecast — Multilayer Perceptron Learning Models for Time Series Forecasting
• mmaction2 — OpenMMLab Video Understanding Toolbox and Benchmark
• mmgpt — An open-source framework for multi-modality instruction fine-tuning
• MMonitor-jittor — A Toolkit for understanding the training of neural network
• MMonitor-mindspore — A Toolkit for understanding the training of neural network
• MMonitor-pytorch — A Toolkit for understanding the training of neural network
• modalities — Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
• model-creator-bird-sing-v2 — Autoencoder singing
• Model-MMonitor — A Toolkit for understanding the training of neural network
• modelgenerator — AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism by enabling researchers to adapt pretrained models and generate finetuned models for downstream tasks.
• modifier — CAMEL: Context-Aware Modifier for Efficient Language model
• mokka — A machine learning toolbox for communications engineering
• momaland — A standard API for Multi-Objective Multi-Agent Decision making and a diverse set of reference environments.
• moonwalk-coolboy — Hey!
• morl-baselines — Implementations of multi-objective reinforcement learning (MORL) algorithms.
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• mosaicml-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
• moving-targets — Moving Targets: a framework for constrained machine learning
• mozmlops — A package for getting your models into production
• mqtts-lightning — Add a short description here
• Mr — mr
• mridc — Data Consistency for Magnetic Resonance Imaging
• mtr — mr
• mu-alpha-zero-library — Library for running and training MuZero and AlphaZero models.
• mudes — Toxic Spans Prediction
• mulsi — Safe inference using representation engineering.
• multibeast — no summary
• my-recommending — no summary
• my-test-pkg-tnfru — Brief test pkg
• mycoai-its — (Fungal ITS) DNA barcode classification with neural networks.
• nadir — Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻
• naifu — naifu is designed for training generative models with various configurations and features.
• nam — Neural Additive Models (Google Research)
• namable-classify — no summary
• name-entity-extraction-for-contextual-embedding — a machine learning project for mlm task for contextual embedding
• napari-cellseg3d — Plugin for cell segmentation in 3D
• Navix — Accelerated gridworld navigation with JAX for deep reinforcement learning
• nbi — Neural Bayesian Inference
• ncluster — Lightweight interface to launching jobs in the cloud
• nemo-text-processing — NeMo text processing for ASR and TTS
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• nerfbaselines — Reproducible evaluation of NeRF and 3DGS methods
• nerfstudio — All-in-one repository for state-of-the-art NeRFs
• neural-admixture — Rapid population clustering with autoencoders
• neuralkg — An Open Source Library for Diverse Representation Learning of Knowledge Graphs
• neuraloperator — NeuralOperator: Learning in Infinite Dimensions
• neuralsampler — neural sampler
• neuroevobench — Neuroevolution Benchmark
• neuromancer — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• neurosis — A neural network trainer (for weebs)
• NeuroVisKit — NeuroVisKit
• neurve — atlas learning
• newAI — newAi
• nextai-star — An open platform for training, serving, and evaluating large language model based chatbots by next ai
• nextdataAI — no summary
• nexusai — Add your description here
• nf2 — Neural Network Force Free magnetic field extrapolation
• niiv — Self-Supervised Neural Implicit Isotropic Volume Reconstruction
• nixietune — A semantic search embedding model fine-tuning tool
• nlp-uncertainty-zoo — PyTorch Implementation of Models used for Uncertainty Estimation in Natural Language Processing.
• nmmo — Neural MMO is a platform for multiagent intelligence research inspired by Massively Multiplayer Online (MMO) role-playing games. Documentation hosted at neuralmmo.github.io.
• nn-template-core — Utility library for nn-template.
• nn-zoo — A collection of PyTorch utilities
• nntemplate — Bundle of usefull tools for training segmentation or image classification neural networks.
• nntool — neural network tool for research
• nnts — Lightweight pytorch time series forecasting
• noko — Log first, ask questions later.
• novae — Graph-based foundation model for spatial transcriptomics data
• nshtrainer — no summary
• nucml — ML-oriented tools for navigating the nuclear data evaluation pipeline.