Reverse Dependencies of tensorboard

The following projects have a declared dependency on tensorboard:

• 2404-segmentation-pipeline — no summary
• a2grunnerp — A2G Runner for Local Workflow
• abcdrl — Modular Single-file Reinfocement Learning Algorithms Library
• ablator — Model Ablation Tool-Kit
• ablator-ken-test — Model Ablation Tool-Kit
• ablator-ken-test2 — Model Ablation Tool-Kit
• ablator-ken-test3 — Model Ablation Tool-Kit
• accelerate — Accelerate
• acids-rave — RAVE: a Realtime Audio Variatione autoEncoder
• actorch — Deep reinforcement learning framework for fast prototyping based on PyTorch
• adamix-gpt2 — PyTorch implementation of low-rank adaptation (LoRA) and Adamix, a parameter-efficient approach to adapt a large pre-trained deep learning model which obtains performance better than full fine-tuning.
• adelecv — no summary
• adeptRL — Reinforcement Learning Framework
• aether — Welcome to the Aether Platform
• agnes — AGNES - Flexible Reinforcement Learning Framework with PyTorch
• ai-projects — Collection of AI algorithms and agents.
• ai-traineree — Yet another zoo of (Deep) Reinforcment Learning methods in Python using PyTorch
• ai-training-utils — Utils to use while training AI models
• ai3 — no summary
• aichatbot — Python library for building custom AI Chatbot with just one line of code.
• aidd-codebase — High-level codebase for deep learning development in drug discovery.
• aim-cli — A super-easy way to record, search and compare AI experiments.
• aine-drl — AINE-DRL is a deep reinforcement learning (DRL) baseline framework. AINE means "Agent IN Environment".
• aipose — Library to use pose estimation in your projects easily
• aironsuit — A model wrapper for automatic model design and visualization purposes.
• airontools — Machine learning tools to complement the AIronSuit package.
• aisfx — Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.
• aitoolbox — PyTorch Model Training and Experiment Tracking Framework
• AK-SSL — A Self-Supervised Learning Library
• alegant — Alegant: a elegant training framework
• alexa-teacher-models — Alexa Teacher Models
• alignment-handbook — The Alignment Handbook
• alphadetector — object detection using yolo, tf2 and detectron2
• alphamed-federated — AlphaMed Federated Learning Module
• altena — Feature extraction for categorical variables
• amaze-benchmarker — Benchmark generator for sighted maze-navigating agents
• amt-tools — Machine learning tools and framework for automatic music transcription
• analogvnn — A fully modular framework for modeling and optimizing analog/photonic neural networks
• animal-classification — classification of animals using machine learning models
• annolid — An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
• anomalib — anomalib - Anomaly Detection Library
• anomaly-toolbox — Anomaly Toolbox Powered by GANs
• ANPR — Automatic Number Plate Recognition(ANPR)
• anvil-rl — Adaptable tools to make reinforcement learning algorithms
• anvilrl — Adaptable tools to make reinforcement learning algorithms
• 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
• archai — Platform for Neural Architecture Search
• arlatentsde — Amortized Reparametrization for Continuous Time Autoencoders (ARCTA)
• artus — A geoAI package to train and predict spatial occurences on rasters or georeferenced images.
• asdeep — A deep-learning tool to interpret variant function by allelic imbalance.
• asone — no summary
• atommic — Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC)
• atorch — A pytorch extension for efficient deep learning.
• AudioAugmentor — Python package for simple application of wide range of audio augmentations.
• audiossl — no summary
• Audyn — A PyTorch toolkit for audio synthesis.
• auglichem — Data augmentation of molecules and crystals.
• auquan-toolbox — Auquan Toolbox for developing strategies and backtesting
• auto-tensorflow — Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code. To make Deep Learning on Tensorflow absolutely easy for the masses with its low code framework and also increase trust on ML models through What-IF model explainability.
• autoalbument — AutoML for image augmentation
• autocare-dlt — Autocare Tx Model
• autoembedder — PyTorch autoencoder with additional embeddings layer for categorical data.
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon.timeseries — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• autogluon-tonyhu-test.timeseries — AutoML for Image, Text, and Tabular Data
• AutoLinePlotter — This repo support auto line plot for multi-seed event file from TensorBoard
• automationobjectdetection-sandeepjena7 — no summary
• automlkiller — Auto machine learning, deep learning library in Python.
• autonomous-learning-library — A library for building reinforcement learning agents in Pytorch
• autoPyTorch — Auto-PyTorch searches neural architectures using smac
• autorch — auto pytorch
• autorecsys — AutoRec: An Automated Recommender System
• autotonne — Auto machine learning, deep learning library in Python.
• autotrain-advanced — no summary
• autotrain-llm — autotrain_llm
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• avalanche-lib — Avalanche: a Comprehensive Framework for Continual Learning Research
• ax-platform — Adaptive Experimentation
• azureml-automl-common-tools — Internal metapackage used for Azure machine learning.
• azureml-contrib-automl-dnn-forecasting — Azure Automated Machine Learning DNN package for timeseries forecasting.
• back — Backbone for PyTorch training loop
• BackgroundVellore — Predict the Genre for each 10-second interval of the video.
• backwardcompatibilityml — Project for open sourcing research efforts on Backward Compatibility in Machine Learning
• bark-ml — Gym Environments and Agents for Autonomous Driving
• basenet-api — Basenet API: A simpler way to build ML models.
• batukh — Document recognizer for multiple languages.
• bayesian-lora — Bayesian LoRA adapters for Language Models
• bayesian-torch — A library for Bayesian neural network layers and uncertainty estimation in Deep Learning
• bbrl — RL library inspired from salina
• beam-ds — Beam Datascience package
• benchkit — Your End to End ML workbench.
• bfas — Brute Force Architecture Search
• bigdl-chronos — Scalable time series analysis using AutoML
• bigdl-chronos-spark2 — Scalable time series analysis using AutoML
• bigdl-chronos-spark3 — Scalable time series analysis using AutoML
• bioencoder — A metric learning toolkit
• biom3d — Biom3d. Framework for easy-to-use biomedical image segmentation.
• biotorch — BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms.