Reverse Dependencies of tensorflow-gpu

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

• gin-config — Gin-Config: A lightweight configuration library for Python
• gpflow-old — Gaussian process methods in tensorflow
• gpflowopt-master — Bayesian Optimization with GPflow
• gpt2-estimator — GPT2 in estimator
• gravityspy — no summary
• gumbelcodes — Neural compression for word embeddings
• HDLTex — HDLTex: Hierarchical Deep Learning for Text Classification
• hf-datasets — HuggingFace/NLP is an open library of NLP datasets.
• histomics-detect — A TensorFlow 2 package for cell detection
• hops-petastorm — Petastorm is a library enabling the use of Parquet storage from Tensorflow, Pytorch, and other Python-based ML training frameworks. This is a fork of Petastorm that is compatible with Hops installations
• hotWater — The program uses a residual deep learning model to predict water hot-spots on the surface of proteins
• idtrackerai — A multi-animal tracking algorithm based on convolutional neural networks
• imageGenie — State of the Art low-code Deep Learning Package for Image Classification
• Img2Vec — {'An implementation for Img2Vec.'}
• impartial-text-cls — Text classifier, based on the BERT and a Bayesian neural network, which can train on small labeled texts and doubt its decision
• iqradre — no summary
• ISR — Image Super Resolution
• janggu — Utilities and datasets for deep learning in genomics
• JLpyUtils — General utilities to streamline data science and machine learning routines in python
• keras-ernie — Keras ERNIE
• keras_vggface — VGGFace implementation with Keras framework
• kerasAC — keras Accessibility Models (kerasAC)
• kf-d3m-primitives — All Kung Fu D3M primitives as a single library
• kfac — K-FAC for TensorFlow
• kryptoflow — Add a short description here!
• larq — An Open Source Machine Learning Library for Training Binarized Neural Networks
• larq-compute-engine — Highly optimized inference engine for binarized neural networks.
• larq-zoo — Reference implementations of popular Binarized Neural Networks
• libra — Ergonomic machine learning
• lookout-style — Machine learning-based assisted code review - code style analyzers.
• Lucid — Collection of infrastructure and tools for research in neural network interpretability.
• lucid2 — Collection of infrastructure and tools for research in neural network interpretability.
• ludus — Reinforcement learning library to expediate application and research
• ludwig-myelin — A deep learning experimentation toolbox
• luminoth — Computer vision toolkit based on TensorFlow
• lungs — 3D Neural Network for Lung Cancer Risk Prediction on CT Volumes
• LVPocket — A Protein Binding Pocket Prediction Methods.
• m3gnet — Materials Graph with Three-body Interactions
• magenta-gpu — Use machine learning to create art and music
• maml — MAterials Machine Learning (maml) is a machine learning library for materials science.
• markertif — Marker Extraction Algorithm
• maupassant — no summary
• mdatpy — A pypi release of the MDAT
• megnet — MatErials Graph Networks for machine learning of molecules and crystals.
• mercury-ml — A library for managing Machine Learning workflows
• merlintf-mri — Machine Enhanced Reconstruction Learning and Interpretation Networks (MERLIN) - merlintf
• miscnn-TF-1.14 — Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
• ML-IIITL — A helping package for ML written by Sankalp
• ml-playground-attention — no summary
• ml4a — A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples
• mliiitl — A helping package for ML written by Sankalp
• mmae — Package for multimodal autoencoders with Bregman divergences.
• mnist-pipeline — no summary
• molmap — MolMap: An Efficient Convolutional Neural Network Based Molecular Deep Learning Tool
• monk-cls-test3 — Monk Classification's Tf-Keras backend
• monk-cuda100 — Monk Classification Library - Cuda100 - backends - pytorch, keras, gluon
• monk-cuda100-test — Monk Classification Library - Cuda100 - backends - pytorch, keras, gluon
• monk-cuda101 — Monk Classification Library - Cuda101 - backends - pytorch, keras, gluon
• monk-cuda101-test — Monk Classification Library - Cuda101 - backends - pytorch, keras, gluon
• monk-cuda102 — Monk Classification Library - Cuda102 - backends - pytorch, keras, gluon
• monk-cuda102-test — Monk Classification Library - Cuda102 - backends - pytorch, keras, gluon
• monk-cuda90 — Monk Classification Library - Cuda90 - backends - pytorch, keras, gluon
• monk-cuda90-test — Monk Classification Library - Cuda90 - backends - pytorch, keras, gluon
• monk-cuda92 — Monk Classification Library - Cuda92 - backends - pytorch, keras, gluon
• monk-cuda92-test — Monk Classification Library - Cuda92 - backends - pytorch, keras, gluon
• monk-keras-cuda100 — Monk Classification Library - Cuda100 - backends - keras
• monk-keras-cuda100-test — Monk Classification Library - Cuda100 - backends - keras
• monk-keras-cuda101 — Monk Classification Library - Cuda101 - backends - keras
• monk-keras-cuda101-test — Monk Classification Library - Cuda101 - backends - keras
• monk-keras-cuda102 — Monk Classification Library - Cuda102 - backends - keras
• monk-keras-cuda102-test — Monk Classification Library - Cuda102 - backends - keras
• monk-keras-cuda90 — Monk Classification Library - Cuda90 - backends - keras
• monk-keras-cuda90-test — Monk Classification Library - Cuda90 - backends - keras
• monk-keras-cuda90-test1 — Monk Classification Library - Cuda90 - backends - keras
• monk-keras-cuda92 — Monk Classification Library - Cuda92 - backends - keras
• monk-keras-cuda92-test — Monk Classification Library - Cuda92 - backends - keras
• mpunet — Multi-Planar UNet for autonomous segmentation of 3D medical images
• mricluster — MRI image set clustering module based on Convolutional Neural Network model
• mskit — Utils for MS data processing
• MultiGATE — MultiGATE single cell
• museflow — Music sequence learning toolkit
• mxnet-donkeycar — An Mxnet Implementation of DonkeyCar, adjusted from the original repo: https://github.com/wroscoe/donkey
• my-unique-isr-package — Image Super Resolution
• n2dit — Deep learning-based Night-to-Day image-translation software
• naszilla — python framework for NAS algorithms on benchmark search spaces
• NiMARE — NiMARE: Neuroimaging Meta-Analysis Research Environment
• nlp — HuggingFace/NLP is an open library of NLP datasets.
• NLP-LIB — Python library for Language Model / Finetune using Transformer based models.
• nn-tuning-prednet — Analyse the tuning functions of neurons in artificial neural networks
• nocode-autonn — An AutoML framework for deep learning
• nosypy-gpu — NosyPy is a self supervised novelty detection package built for time lapse imagery using Python.
• npcnn — test code based on deepctr
• nvidia-eff — NVIDIA Exchange File Format
• object-detection-tf — A Thin Wrapper around Tensorflow Object Detection API for Easy Installation and Use
• ocgan — Tensorflow implementation of OCGAN
• ocrd-cor-asv-ann — sequence-to-sequence translator for noisy channel error correction
• ocrd-gbn — Collection of OCR-D compliant tools for layout analysis and segmentation of historical german-language documents published in Brazil
• ocrd-keraslm — character-level language modelling in Keras
• OpenMedicalChatBox — OpenMedicalChatBox
• paiutils — An artificial intelligence utilities package built to remove the delays of machine learning research.