Reverse Dependencies of tensorboard
The following projects have a declared dependency on tensorboard:
- lightning-bolts — Lightning Bolts is a community contribution for ML researchers.
- lightning-boost — PyTorch Lightning extension for faster model development.
- lightning-flash — Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes.
- lightning-pose — Semi-supervised pose estimation using pytorch lightning
- lightning-training-studio — Lightning HPO
- lightningnbeats — A Pytorch Lightning implementation of the N-BEATS algorithm with some extended functionality.
- liltab — Package for meta-learning across data with varying attributes spaces.
- litGPT — Hackable implementation of state-of-the-art open-source LLMs
- livermask — A package for automatic segmentation of liver from CT data
- llcv — A Modular and Extensible Framework for Computer Vision
- llm-serve — An LLM inference solution to quickly deploy productive LLM service
- logall — Unifies metric logging from various logging packages
- longling — This project aims to provide some handy toolkit functions to help construct the architecture.
- lpd — A Fast, Flexible Trainer with Callbacks and Extensions for PyTorch
- lung-annotator — no summary
- luxonis-train — Luxonis training framework for seamless training of various neural networks.
- lvc — Unofficial pip package for zero-shot voice conversion
- mammoth-nlp — Massively Multilingual Modular Open Translation @ Helsinki
- mapreader — A computer vision pipeline for the semantic exploration of maps/images at scale
- mapyllary — Unofficial Mapillary API
- marian-tensorboard — TensorBoard integration for Marian NMT
- marine — Marine: Multi-task learning based on Japanese accent estimation
- mase-tools — Machine-Learning Accelerator System Exploration Tools
- mask2former — Mask2Former
- matcha-dl — Matcha-DL is a tool for supervised ontology alignment. It takes as input two ontologies and a set of mappings between them, and learns a model that can predict mappings between the two ontologies.
- matcha-tts — 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
- materials-learning-algorithms — Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
- matex — A collection of reinforcement learning algorithms
- maze-rl — MazeRL is a development framework for building applied reinforcement learning systems, addressing real-world decision problems. It supports the complete development life cycle of RL applications, ranging from simulation engineering up to agent development, training and deployment.
- mbrl — A PyTorch library for model-based reinforcement learning research
- mcquic — McQuic, a.k.a. Multi-codebook Quantizers for neural image compression
- mct-nightly — A Model Compression Toolkit for neural networks
- mdml — Application of Deep learning on molecular dymanamics trajectories
- mead-baseline — Strong Deep-Learning Baseline algorithms for NLP
- meddlr — Meddlr is a config-driven framework built to simplify ML-based medical image reconstruction and analysis.
- mini-dust3r — Miniature version of dust3r, focused on inference
- mira-multiome — Single-cell multiomics data analysis
- MiScan — MiScan: mutation-inferred screening model of cancer
- mist-medical — MIST is a simple, fully automated framework for 3D medical imaging segmentation.
- mixdq-extension — no summary
- ml-experiment-manager — Manage data during machine learning projects
- ml-leoxiang66 — A package of RL algorithms
- ml-starter — ML project template repository
- ml_utils_jme45 — A simple package for doing ML training.
- ml-workflow — Pytorch project template and required tools
- mlagents — Unity Machine Learning Agents
- mlcvzoo-yolox — MLCVZoo YOLOX Package
- mldev — mldev is a tool for running reproducible experiments
- mlfab — A collection of core machine learning tools
- mllooper — Primitives for machine learning pipelines
- mlops-sdk — mlops-sdk for data play
- mmaction2 — OpenMMLab Video Understanding Toolbox and Benchmark
- mmagic — OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox
- mmdet3d — OpenMMLab's next-generation platformfor general 3D object detection.
- mmedit — OpenMMLab Image and Video Editing Toolbox and Benchmark
- mmselfsup — OpenMMLab Self-Supervised Learning Toolbox and Benchmark
- mmv-im2im — A python package for deep learing based image to image transformation
- model-compression-toolkit — A Model Compression Toolkit for neural networks
- molnetpack — 3DMolMS: prediction of tandem mass spectra from 3D molecular conformations
- monai — AI Toolkit for Healthcare Imaging
- monai-weekly — AI Toolkit for Healthcare Imaging
- monviso — MoNvIso is a comprehensive software tool designed for the analysis and modeling of protein isoforms. It automates the process of identifying canonical and additional isoforms, assessing their modeling propensity, mapping mutations accurately, and building structural models of proteins.
- mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
- mozi-ai — 墨子AI:军事人工智能领航者, developed by HSFW
- MPoL — Regularized Maximum Likelihood Imaging for Radio Astronomy
- mqt.predictor — MQT Predictor - A MQT tool for Determining Good Quantum Circuit Compilation Options
- ms-swift — Swift: Scalable lightWeight Infrastructure for Fine-Tuning
- msdlib — msdlib is meant for making life easier of a common data scientist/data analyst/ML enginner.
- Multispectral-Pedestrian-Detection — Repo contatining code for testing MPD using CFT based method on your input video
- multiviewae — A library for running multiview autoencoder models
- mushan — Personal toolkit.
- muzero-baseline — Baseline implementation of MuZero agent
- mygpt — A locally runnable LLM
- n3 — Nerual Network Notation
- naifu — naifu is designed for training generative models with various configurations and features.
- napari-aideveloper — napari_aideveloper is a napari-plugin deived from AIDeveloper that allows you to train, evaluate and apply deep neural nets for image classification within a graphical user-interface (GUI).
- nappo — Disributed RL implementations with ray and pytorch.
- narca — NARS Controlled Agent: an agent capable of playing various games in Gym environments, using NARS for planning.
- nasim — A simple and fast simulator for remote network pen-testing
- naszilla — python framework for NAS algorithms on benchmark search spaces
- NehorayRapid — Rapid base tools package
- NehorayRapid1 — Rapid base tools package
- nemo-toolkit — NeMo - a toolkit for Conversational AI
- NeodroidAgent — Reinforcement learning agent implementations, intended for use with the Neodroid platform
- nerblackbox — a high-level library for named entity recognition in python
- nerfbaselines — A collection of NeRF baselines for benchmarking
- nerfstudio — All-in-one repository for state-of-the-art NeRFs
- netcal — The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
- netspresso-trainer — NetsPresso Python Package
- neural-amp-modeler — Neural amp modeler
- neural-pipeline-search — Neural Pipeline Search helps deep learning experts find the best neural pipeline.
- neural-semigroups — Neural networks powered research of semigroups
- neuralhydrology — Library for training deep learning models with environmental focus
- neuralnets — A library, based on PyTorch, that implements basic neural network algorithms and useful functions
- NeuralPlayground — The standardised environment for the hippocampus and entorhinal cortex models
- neuralprophet — NeuralProphet is an easy to learn framework for interpretable time series forecasting.
- neurocat — Interface Design for Neurocat's Research Engineer Test
- neurodiffeq — A light-weight & flexible library for solving differential equations using neural networks based on PyTorch.
- newAI — newAi
- nflowscam — Normalizing flows in PyTorch.