Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- AutoGAN — GANs were never easier
- autogoal-keras — Keras algorithm library wrapper for AutoGOAL
- automated-machineLearning-methods — A small example package for machine learning operations
- automateimageclassification — Its an auto image classification library
- automatic-speech-recognition — Distill the Automatic Speech Recognition (TensorFlow)
- automationobjectdetection-sandeepjena7 — no summary
- automatise — Automatise: A Multiple Aspect Trajectory Data Mining Tool Library
- automatize — Automatize: A Multiple Aspect Trajectory Data Mining Tool Library
- automl-lib — automl fm dnn deepFM in config file
- automl-utils — Facilitating reproducible AutoML research.
- automlkiller — Auto machine learning, deep learning library in Python.
- autonon — Organon Automated ML Platform
- autopool — Adaptive pooling operators for multiple instance learning
- autoprototype — This is a module for Hyper-parameter tuning and rapid prototyping
- autopycoin — Deep learning models for forecasting purposes.
- AutoQAI — A Quantum Artificial Intelligence Workplace
- autorecsys — AutoRec: An Automated Recommender System
- autosegl3 — Tool for automatically segmenting muscle and fat tissue in CT images acquired at the 3rd vertebral level
- autotonne — Auto machine learning, deep learning library in Python.
- AutoTS — Automated Time Series Forecasting
- avici — Amortized Inference for Causal Structure Learning
- ax-env — dependency manager for XENONnT package
- axelerate — Keras-based framework for AI on the Edge
- axion-tensorflow — axion for TensorFlow >=2.2.
- axlearn — AXLearn
- aydin — Aydin - Denoising but chill
- azureml-accel-models — Used to create and train a model using various deep neural networks (DNNs).
- azureml-contrib-explain-model — no summary
- azureml-contrib-interpret — ML contrib interpret package contains experimental functionality to interpret ML models
- azureml-designer-recommender-modules — Modules to train and inference recommendation models based on deep neural network.
- azuremlftk — "Microsoft Azure Machine Learning Forecasting Toolkit"
- b4tf — Bayian Neural Network for TensorFlow
- babblebox — An Ai Driven ChatBot
- baby-seg — Birth Annotator for Budding Yeast
- baccoemu — A collection of cosmological emulators for large-scale structure statistics
- 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
- bacon-net — A neural network architecture for building fully explainable neural network for arithmetic and gradient logic expression approximation.
- bam-intp — Benchmarking attribution methods.
- band — BERT Application
- barbell2-bodycomp — components for command-line body composition analysis
- bark-detection — Package for bark detection in audio file
- bark-ml — Gym Environments and Agents for Autonomous Driving
- bark-monitor — A package to monitor your dog's barks
- barrage — A supervised deep learning tool.
- basaka — Berserker - BERt chineSE woRd toKenizER
- basenet-api — Basenet API: A simpler way to build ML models.
- basic-lstm-model — Example lstm model package from lstm_deploy_ApiRest.
- basic-pitch — Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection.
- batchglm — Fast and scalable fitting of over-determined generalized-linear models (GLMs)
- battery-analyser — no summary
- batukh — Document recognizer for multiple languages.
- bavard — A library and CLI for NLP and chatbot tasks
- bavard-nlu — A library and CLI for NLP tasks
- bax — A flexible trainer interface for Jax and Haiku.
- bayes-mapvar — Bayesian Maximum a Posteriori/Variance estimation
- bayes-vi — A package for bayesian inference
- bayesflow — "Amortizing Bayesian Inference With Neural Networks"
- bbopt — The easiest hyperparameter optimization you'll ever do.
- bc-count — Count blood cells
- bci-essentials — Python backend for bci-essentials
- beacon-trellis — Trellis is a deep hedging and deep pricing framework for quantitative finance
- bear-model — Python package implementing the BEAR generative sequence model.
- BEAT-Guang — This is an example project
- Beat-ML1 — This package contains several methods for calculating Conditional Average Treatment Effects
- BEAT-TEST — This package contains several methods for calculating Conditional Average Treatment Effects
- BEATAALU — This package contains several methods for calculating Conditional Average Treatment Effects
- BEATluzgool — This is an example project
- bechdelai — Automating the Bechdel test and its variants for feminine representation in movies with AI
- behaveml — Machine learning for animal behavior analysis
- beir — A Heterogeneous Benchmark for Information Retrieval
- bella-tdsa — Target Dependent Sentiment Analysis (TDSA) framework.
- bellman — A Toolbox for Model-Based Reinforcement Learning in TensorFlow
- benchscofi — Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.
- 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-experimental — Utilities for finetuning BERT-like models
- bert-for-tf2 — A TensorFlow 2.0 Keras implementation of BERT.
- 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
- bert4tf — bert for tensorflow2
- bert4tf2 — A very simple and easy to learn BERT library for tensorflow 2.x
- bertnlp — BERT toolkit is a Python package that performs various NLP tasks using Bidirectional Encoder Representations from Transformers (BERT) related models.
- bertopic — BERTopic performs topic Modeling with state-of-the-art transformer models.
- BERTVector — extract vector from BERT pre-train model
- besser-bot-framework — BESSER Bot Framework (BBF)
- best-package — no summary
- besuto — library that made for besuto and made by besuto
- betsi-ml — Behaviour Extraction for Time-Series Investigation
- beyondml — Package containing utilities for implementing RSN2/MANN
- beyondpapers — Collection Machine Learning algorithm beyond papers
- bezzanlabs.treemachine — An AutoML companion to fit tree models easily
- bf-nlu — no summary
- bf-nlu-banki — no summary
- bfbrain — Use active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.
- bicleaner-ai — Parallel corpus classifier, indicating the likelihood of a pair of sentences being mutual translations or not (neural version)
- bidaf-keras — Implementation of Bidirectional Attention Flow for Machine Comprehension in Keras 2
- big-fish — Toolbox for the analysis of smFISH images.