Reverse Dependencies of tensorboardX

The following projects have a declared dependency on tensorboardX:

• 3DJCG-3Dvisual-question-answering — 3DJCG Models
• a2rl — Make recommendations for sequential decision problems using offline data
• abeja-sdk — ABEJA Platform Software Development Kit
• 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
• accord-nlp — ACCORD-NLP: Transformer/language model-based information extraction from regulatory text
• ai4bharat-transliteration — Indic-Xlit: Transliteration library for Indic Languages. Conversion of text from English to 21 languages of South Asia.
• allennlp — An open-source NLP research library, built on PyTorch.
• allRank — allRank is a framework for training learning-to-rank neural models
• alphapose — no summary
• amt-tools — Machine learning tools and framework for automatic music transcription
• ansutr-transliteration — Indic-Xlit: Transliteration library for Indic Languages. Conversion of text from English to 21 languages of South Asia.
• armory-library — TwoSix Armory Adversarial Robustness Evaluation Library
• armory-testbed — Adversarial Robustness Test Bed
• asr-deepspeech — ASRDeepspeech (English / Japanese)
• atalaya — Atalaya is a logger for pytorch.
• AttentionMOI — A Denoised Multi-omics Integration Framework for Cancer Subtype Classification and Survival Prediction.
• auquan-toolbox — Auquan Toolbox for developing strategies and backtesting
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• ax-platform — Adaptive Experimentation
• azalea — Hex board game AI with self-play learning based on the AlphaZero algorithm
• babilim — A try to unify the deep learning frameworks under one api.
• beam-ds — Beam Datascience package
• bertserini — An end-to-end Open-Domain question answering system
• beta-rec — Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
• biapy — BiaPy: Bioimage analysis pipelines in Python
• bio-embeddings-tape-proteins — Repostory of Protein Benchmarking and Modeling
• bootstrap.pytorch — High level framework for starting Deep Learning projects
• brax — A differentiable physics engine written in JAX.
• catalyst — Catalyst. Accelerated deep learning R&D with PyTorch.
• catalyst-pdm — Catalyst fork compatible with PDM
• catalyst-rl — Catalyst.RL. PyTorch framework for RL research.
• catbird — Paraphrase generation Toolbox and Benchmark
• cdst — Calvin's Data Science Toolbox
• charmory — Adversarial Robustness Evaluation Library
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• CLaF — CLaF: Clova Language Framework
• coax — Plug-n-play reinforcement learning with Gymnasium and JAX
• crank-vc — Non-parallel Voice Conversion called crank
• ctc-detector — Target Cell Detection
• darts — A python library for easy manipulation and forecasting of time series.
• datumaro — Dataset Management Framework (Datumaro)
• decofre — Neural coreference resolution
• decolle — Deep Continuous Local Learning
• deepbots — A wrapper framework for Reinforcement Learning in Webots simulator
• deepclassifier — DeepClassifier is aimed at building general text classification model library.It's easy and user-friendly to build any text classification task.
• deepclustering — no summary
• deepehrgraph — no summary
• deepke — DeepKE is a knowledge extraction toolkit for knowledge graph construction supporting low-resource, document-level and multimodal scenarios for entity, relation and attribute extraction.
• deeplite-torch-zoo — The deeplite-torch-zoo package is a collection of popular pretrained deep learning models and their datasets for PyTorch framework.
• deepoffense — Multilingual Offensive Language Identification with Transformers
• DeepPhysX — A Python framework interfacing AI with numerical simulation.
• deeprobust — A PyTorch library for adversarial robustness learning for image and graph data.
• DeepSecE — A Deep Learning Framework for Multi-class Secreted Effector Prediction in Gram-negative Bacteria.
• deepspeed — DeepSpeed library
• delphi.ai — Package for Robust Statistics
• delve — Delve lets you monitor PyTorch model layer saturation during training
• democlassi — Collection of my python functions for training pytorch models to classify emotion, age, race, gender
• DeOldify — Deep Learning library for colorizing and restoring old images and video
• dfencoder — Autoencoder Library for Tabular Data
• DI-engine — Decision AI Engine
• dl-ext — Chen Linghao's personal utils.
• dls-rvc — no summary
• domias — DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.
• doyle — doyle description
• dprox — A domain-specific language and compiler that transforms optimization problems into differentiable proximal solvers.
• dronnai — Neural Networks Training Center by Dronn.com
• elegy — Elegy is a Neural Networks framework based on Jax and Haiku.
• elektronn3 — Utilities for 3D CNNs in PyTorch
• encdecmeta — A meta search space for encoder decoder networks.
• enot-autodl — AutoDL framework for neural network compression & acceleration
• evolution-strategy — Evolution Strategy
• experiment-buddy — no summary
• ezeeml — A high level library for Pytorch
• fast-bert — AI Library using BERT
• fast-bert-no-plot — AI Library using BERT
• fast-bert-xrendan — AI Library using BERT
• fast-tts — no summary
• fathom-web — Commandline tools for training Fathom rulesets
• FE-3DGQA — FE-3DGQA Model
• feedbax — Optimal feedback control + interventions in JAX.
• few-shot-clustering — A library for efficient semi-supervised clustering with large language models.
• finetuning-scheduler — A PyTorch Lightning extension that enhances model experimentation with flexible fine-tuning schedules.
• finrl-meta — FinRL­-Meta: A Universe of ­ Market En­vironments for Data­-Driven Financial Reinforcement Learning
• FLAML — A fast library for automated machine learning and tuning
• flowtron — Flowtron library
• funasr — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
• gammagl — no summary
• gdp-time-series — no summary
• general-text-classifier — General Text Classification Library
• genienlp — no summary
• gluoncv — Gluon CV Toolkit
• gorilla-core — ToolBox Package for Gorilla-Lab using PyTorch
• gorilla2d — 2D ToolBox Package for Gorilla-Lab using PyTorch
• graphenv — Reinforcement learning on directed graphs
• graphgym — GraphGym: platform for designing and evaluating Graph Neural Networks (GNN)
• GSG — no summary
• gym-jiminy-rllib — Specialized Reinforcement learning toolbox based on Ray RLlib for Gym Jiminy.