Reverse Dependencies of tf-keras

The following projects have a declared dependency on tf-keras:

• a2 — Package for predicting information about the weather from social media data as application 2 for maelstrom project
• abismal — Stochastic merging for diffraction data.
• africanwhisper — A framework for fast fine-tuning and API endpoint deployment of Whisper model specifically developed to accelerate Automatic Speech Recognition(ASR) for African Languages.
• ai-address-lib — Library for address model predictions
• ai-parrot — Live Chatbots based on Langchain chatbots and Agents Integrated into Navigator Framework or used into any aiohttp applications.
• anomed-anonymizer — A library aiding to create anonymizers (privacy preserving machine learning models) for the AnoMed competition platform.
• aphin — Autoencoder-based port-Hamiltonian Identification Networks (ApHIN) is a Python package for structure-preserving model order reduction and system identification of port-Hamiltonian systems.
• ASLTranslator — Using WebCam to translate ASL to English
• beliefppg — Taking multi-channel PPG and Accelerometer signals as input, BeliefPPG predicts the instantaneous heart rate and provides an uncertainty estimate for the prediction.
• bigml-sensenet — Network builder for bigml deepnet topologies
• caikit-nlp — Caikit NLP
• decima2 — Evaluation Toolkit for Machine Learning Models
• deephyper — Massively Parallel Hyperparameter Optimization for Machine Learning
• dopamine-rl — Dopamine: A framework for flexible Reinforcement Learning research
• dvclive — Experiments logger for ML projects.
• easycreditscoring — Simple library combining efficient credit scoring ML methods
• ernie — An Accessible Python Library for State-of-the-art Natural Language Processing. Built with HuggingFace's Transformers.
• exordium — Collection of utility tools and deep learning methods.
• flamedisx — Fast likelihood analysis in more dimensions for xenon TPCs
• GEMLib — GEMlib scientific compute library for epidemic modelling
• geostat — Model spatial data with Gaussian processes
• ggd-py-utils — A collection of utility functions for my projects.
• google.meridian — Google's open source mixed marketing model library, helps you understand your return on investment and direct your ad spend with confidence.
• HubNLP — A simple NLP utility library
• idvpackage — This repository contains a Python program designed to execute Optical Character Recognition (OCR) and Facial Recognition on images.
• inverse-canopy — Tensorflow based library for back-fitting event tree conditional/functional event probability distributions to match target end-state frequencies.
• itwinai — AI and ML workflows module for scientific digital twins.
• jaxili — This package provides tools to execute and implement Implicit Likelihood Inference tools in JAX.
• KAFYTraj — This library includes an extensible system for building various trajectory operations.
• keras-generators — Multi-dimensional/Multi-input/Multi-output Data preprocessing and Batch Generators for Keras models
• libmg — The Python implementation of the μG language for programming graph neural networks
• llm-image-classifier — Ferramenta de suporte para treinamentoe análise de modelo de classificação de imagem com assistente virtual integrado
• mhcflurry — MHC Binding Predictor
• ml4gw-hermes — Inference-as-a-Service deployment made simple
• mlpp-lib — Collection of methods for ML-based postprocessing of weather forecasts.
• molgraph — Graph Neural Networks for Molecular Machine Learning
• nabqr — NABQR is a method for sequential error-corrections tailored for wind power forecast in Denmark
• openwillis-face — digital health measurement
• openwillis-speech — digital health measurement
• openwillis-transcribe — digital health measurement
• privkit — Privkit is a privacy toolkit that provides methods for privacy analysis. It implements different data types, privacy-preserving mechanisms, attacks, and privacy/utility metrics.
• profanity-sanitizer — A profanity sanitizer with fuzzy matching, semantic similarity, and AI-based toxicity detection
• psiz — Toolbox for inferring psychological embeddings.
• pydeepsar — This Project aims to ...
• pylexfluent — Librairie outils IA Lexia par Lexfluent
• pymtlibs — Slepian Scale-Discretised Wavelets in Python
• python-doctr — Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.
• robobo-emotion — Librería para detectar emociones en imágenes y audio usando Robobo
• RufusAIToolkit — An AI-powered tool for intelligent web data extraction.
• scivae — no summary
• sgvb_psd — A python package for estimating the power spectral density (PSD) of correlated multivariate detector noise using variational inference (VI).
• shap — A unified approach to explain the output of any machine learning model.
• snapsort — A CLI tool built in python to segregate people in the group photos .
• ss-scrapping — A Python package for top 500 universities
• systemics — AI system for general agents
• tensorboard-plugin-fairness-indicators — Fairness Indicators TensorBoard Plugin
• tensorflow-hub — TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.
• tensorflow-lattice — A library that implements optionally monotonic lattice based models.
• tensorflow-transform — A library for data preprocessing with TensorFlow
• tensorflowjs — no summary
• TextAnalyzerMU — TextAnalyzerMU
• tf-models-no-deps — TensorFlow Official Models
• tf-models-official — TensorFlow Official Models
• tf-ocr — Tools for OCR in tensorflow. Typed with `jaxtyping`
• tf2-bfgs — Wrapper to train a tf.Module or tf.keras.Model using (L)BFGS optimizer from Tensorflow Probability
• tfclass-predict — tfclass_predict allows to estimate transcription factor bindingsites in the TFClass hierarchy.
• tfp_causalimpact_customized — A stable version of the tfcasualimpact package
• ultraclean — UltraClean is a fast and efficient Python library for cleaning and preprocessing text data for AI/ML tasks and data processing.
• vindy — AESINDy is a Python package for automated system identification of low-dimensional systems combining autoencoders and SINDy.