Reverse Dependencies of tensorflow-gpu

The following projects have a declared dependency on tensorflow-gpu:

• adversarial-robustness-toolbox — Toolbox for adversarial machine learning.
• aggmap — Jigsaw-like AggMap: A Robust and Explainable Omics Deep Learning Tool
• ai-serving-server — Mapping a variable-length sentence to a fixed-length vector using BERT model (Server)
• animius — A deep-learning virtual assistant engine
• anyrl — A library for Reinforcement Learning
• ardiss — Automated Relevance Determination for Imputation of GWAS Summary Statistics
• arenets — Tensorflow-based framework which lists implementation of conventional neural network models (CNN, RNN-based) for Relation Extraction classification tasks as well as API for custom model implementation
• atman-kg-nlp — a nlp toolkit package for atman corp
• attention-tensorflow-mesh — A bunch of attention related functions, for constructing transformers in tensorflow mesh
• auDeep — auDeep is a Python toolkit for unsupervised feature learning with deep neural networks (DNNs)
• autodl-gpu — Automatic Deep Learning, towards fully automated multi-label classification for image, video, text, speech, tabular data.
• autogame — A python framework for automatic game playing, which can be used to develop automatic game scripts.
• azureml-accel-models — Used to create and train a model using various deep neural networks (DNNs).
• batchglm — Fast and scalable fitting of over-determined generalized-linear models (GLMs)
• bent — BENT: Biomedical Entity Annotator
• bert-base — Use Google's BERT for Chinese natural language processing tasks such as named entity recognition and provide server services
• bert-multitask-server — A service to serve bert_multitask_learning models(server)
• bert-qa — Question-Answering system using state-of-the-art pre-trained language models.
• bert-serving-multilingual-server — Mapping a variable-length sentence to a fixed-length vector using BERT model (Server)
• bert-serving-server — Mapping a variable-length sentence to a fixed-length vector using BERT model (Server)
• bert-tensorflow — BERT
• bert-text — tf.keras bert
• Bert2TF — ('A framework for user easy to load pre trained models with tensorflow keras, like bert gpt2 etc',)
• bidaf-keras — Implementation of Bidirectional Attention Flow for Machine Comprehension in Keras 2
• biofit — BioFit: Bioinformatics Machine Learning Framework
• biosets — Bioinformatics datasets and tools
• bore — Bayesian Optimization by Density-Ratio Estimation
• capibara-ent — A flexible multimodal AI library for advanced contextual understanding and deployment.
• cctv-analysis — A ready-to-use server to analyse cctv feeds. Pip install, boot up server, and make requests to analyse videos.
• cerebro-dl — Resource-efficient Deep Learning Model Selection on Data Systems
• ckipneutools — DEPRECATED, please shift to install and import 'ckiptagger'
• CkipTagger — Neural implementation of CKIP WS, POS, NER tools
• classification-text-email — compiled packages
• classitransformers — An abstract library for implementing text classification tasks based on various transformers based language models
• concise — CONCISE (COnvolutional Neural for CIS-regulatory Elements)
• ConfNet — no summary
• connar-package — no summary
• conveiro — Visualization of filters in convolutional neural networks
• ctr-acn — test code based on deepctr
• CTRZOO — CTR ZOO for CloudML
• d3m-simon — Character-level CNN+LSTM model for text classification
• darkon — Performance hacking for your deep learning models
• DataProfiler — What is in your data? Detect schema, statistics and entities in almost any file.
• datascienv — Data Science package for setup data science environment in single line
• dcase-models — Python library for rapid prototyping of environmental sound analysis systems
• ddpg-tf2 — Simple yet effective DDPG implementation for continuous action space,
• decuen — Reinforcement learning framework built in modern Python for experimentation, ease-of-use, modularity, and extensibility.
• Deep-floorplan — Deep FloorPlan
• deep-svdd — Tensorflow implementation of Deep SVDD
• deepconsensus — DeepConsensus
• deepctr — Easy-to-use,Modular and Extendible package of deep learning based CTR(Click Through Rate) prediction models with tensorflow 1.x and 2.x .
• deepdefacer — Automatic Removal of Facial Features from MRI Images
• deepevolution — A genetic algorithm to evolve tensorflow keras neural networks.
• deepfastmlu — Machine learning utilities to help speed up your prototyping process.
• deepfastvision — A Python library for rapid prototyping of deep transfer learning vision models
• deeplite-profiler — Profiler for deep learning models
• deepmatch — Deep matching model library for recommendations, advertising. It's easy to train models and to **export representation vectors** for user and item which can be used for **ANN search**.
• deepModel — This is a toolkit for deep learning development
• deepmodels — framework for build, train and test deep learning models
• DeepSpectrum — no summary
• deepview_tensorflow — TensorFlow extensions of DeepView.
• deepvog — Deep VOG for gaze estimation
• DeFi-Assessment — A prototype project to perfrom risk assessment for DeFi lending platforms.
• delira — no summary
• denseblock — Keras Extended Dense Layer
• denseclus — A clustering library with optional GPU support by AnupamAS01
• DigiPathAI — Deep Learning toolbox for WSI (digital histopatology) analysis
• disentangle — Quickly create disentanglement pipelines for machine learning research.
• disentanglement-lib — Library for research on disentangled representations.
• distil-primitives — Distil primitives as a single library
• dm-sonnet — Sonnet is a library for building neural networks in TensorFlow.
• dmae-gpu — TensorFlow implementation of the dissimilarity mixture autoencoder (DMAE)
• dnikit_tensorflow — TensorFlow extensions of DNIKit.
• docproduct — BERT in TF2.0 for Medical QA info retrieval + GPT2 for answer generation
• document-classifier — A simple CNN for n-class classification of document images.
• dragonn — Deep RegulAtory GenOmic Neural Networks (DragoNN)
• dream-on-gym — no summary
• drl-model — DRL logic
• easyasr — PAI EasyASR Toolkit
• easycheml — A simple tool for using artificial intelligence in chemistry
• easydistill — PAI EasyDistill Toolkit
• easymatch — EasyMatch
• easyrl — PAI EasyRL Toolkit
• easytransfer — PAI EasyTransfer Toolkit
• Edward — A library for probabilistic modeling, inference, and criticism
• efficient-det — Efficient-Det Implementation in Keras
• einshape — DSL-based reshaping library for JAX and other frameworks
• email-txt-classification — compiled packages
• evaluate — HuggingFace community-driven open-source library of evaluation
• evolly — Evolutionary NAS framework
• face-detector — State-of-the-art face detection and landmarks localization
• face-identifier — Recognition implement with MTCNN and VGGFace
• faceverification — A Face Verification module using keras VGGFace
• fibber — Fibber is a benchmarking suite for adversarial attacks on text classification.
• FireSpark — FireSpark data processing utility library
• flowdec — TensorFlow Implementations of Signal Deconvolution Algorithms
• gamornet — A CNN to classify galaxies morphologically
• genebench — Benchmark-ing framework used in analyzing methods that detect deferentially expressed genes from biological samples
• geode-ml — Classes and methods to help with the creation of geospatial training datasets and deep-learning models.
• geonet — no summary