Reverse Dependencies of tensorflow-probability
The following projects have a declared dependency on tensorflow-probability:
- fenbux — A Simple Statistical Distribution Library In JAX
- flamedisx — Fast likelihood analysis in more dimensions for xenon TPCs
- fmldk — Forecast ML library
- ForeTiS — state-of-the-art and easy-to-use time series forecasting
- gcvit-tensorflow — TensorFlow 2.X reimplementation of Global Context Vision Transformers, Ali Hatamizadeh, Hongxu (Danny) Yin, Jan Kautz Pavlo Molchanov.
- gdemandfcast — Generic Python Package for Time Series Forecasting.
- geostat — Model spatial data with Gaussian processes
- gigalens — Fast strong gravitational lens modeling
- gmmvi — A library for learning Gaussian mixture models for variational inference
- gpflow — Gaussian process methods in TensorFlow
- gpflux — GPflux: Deep GP library
- gpfy — Gaussian process with spherical harmonic features in JAX
- GPJax — Gaussian processes in JAX.
- gps-building-blocks — Modules and tools useful for use with advanced data solutions on Google Ads, Google Marketing Platform and Google Cloud.
- gretel-synthetics — Synthetic Data Generation with optional Differential Privacy
- gryffin — Bayesian optimization for categorical variables
- harlow — Adaptive surrogate modelling
- hivae2 — HIVAE (Handling incomplete heterogeneous data using VAEs (doi: 10.1016/j.patcog.2020.107501, 2020 and used in Lancet . 2021 (doi: 10.1016/S0140-6736(21)01638-X).Extension of implementations as easy to use Python library/tf2 version (incl. imputation objects for sklearn API) (a.karwath)
- hydrogpower — A small example package
- icenet — Library for operational IceNet forecasting
- iflow — Monte-Carlo Integration using Neural Networks
- imgaugtf — tensorflow native image augmantation
- IMNN — Using neural networks to extract sufficient statistics from data by maximising the Fisher information
- 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
- impsy — IMPSY is the Interactive Musical Prediction SYstem, a tool for creative interactive intelligent musical instruments using a recurrent mixture density neural network.
- imspy — no summary
- inverse-canopy — Tensorflow based library for back-fitting event tree conditional/functional event probability distributions to match target end-state frequencies.
- ismlldataset — A Repository for Handling (Meta) Datasets
- jax_chmc — An implementation of a family of MCMC methods on implicitly defined manifolds
- jax-xc — no summary
- jaxns — Nested Sampling in JAX
- kassandra — Package for implementing bayesian deep learning models in python.
- keras-mdn-layer — An MDN Layer for Keras using TensorFlow's distributions module
- keras-spiking — Spiking neuron integration for Keras
- keras-unsupervised — Keras based unsupervised learning framework.
- kfac — K-FAC for TensorFlow
- kid-ppg — A library for performing probabilistic heart rate extraction from photoplehysmography signals.
- kolibri-light — Deep Learning and more NLP toolkit
- kozmo-supervisor-detect — Algorithms for outlier detection, concept drift and metrics.
- latent — Latent spaces for single cells
- libspn-keras — LibSPN-Keras: A fledxible and scalable library for layer-based building and training of Sum-Product Networks
- liesel — A probabilistic programming framework with a focus on semi-parametric regression
- lruun — LRU TensorFlow implementation
- lungs — 3D Neural Network for Lung Cancer Risk Prediction on CT Volumes
- magenta — Use machine learning to create art and music
- magenta-gpu — Use machine learning to create art and music
- mammut-py — Mammut framework is an open library for computational linguistics.
- mapc-sim — IEEE 802.11 MAPC (C-SR) simulator
- margarine — margarine: Posterior Sampling and Marginal Bayesian Statistics
- markovflow — A Tensorflow based library for Time Series Modelling with Gaussian Processes
- maxent-infer — Maximum entropy inference Keras implementation
- maxspin — Estimate spatial information in spatial -omics datasets.
- mcfa — Mixtures of Common Factor Analyzers with missing data
- mdp-playground — A python package to design and debug RL agents
- MDSuite — A postprocessing tool for molecular dynamics simulations.
- medusa-kernel — Advanced biosignal processing toolbox
- memnet — A set of useful classes and functions for dealing with neural networks implented using memristive crossbar arrays.
- mesh-tensorflow — Mesh TensorFlow
- micromind — MicroMind
- minapip1 — kjdfdlsjlkdfl
- minapipe — this first test pipe
- minapipe1 — this first test pipe
- mix-gamma-vi — A small example package
- ml-ocean-bl — Machine Learning Ocean Boundary Layer
- ml4ir — Machine Learning libraries for Information Retrieval
- mlpp-lib — Collection of methods for ML-based postprocessing of weather forecasts.
- modular-rl — ModularRL is a Python library for creating and training reinforcement learning agents using various algorithms. The library is designed to be easily customizable and modular, allowing users to quickly set up and train agents for various environments without being limited to a specific algorithm.
- MOGPJax — Didactic multi-output Gaussian processes in Jax.
- mosaic-utils — Utils library for Mosaic
- mrmustard — Differentiable quantum Gaussian circuits
- mubelnet — Deep Bayesian unsupervised decoder networks. Use poisson or multinomial belief networks to cluster non-negative count data.
- muygpys — Scalable Approximate Gaussian Process using Local Kriging
- nemo-bo — Multi-objective optimization of chemical processes with automated machine learning workflows
- neuralbridge — Easy-to-use, one-liner AI model conversion tool between AI frameworks to ensure faster model development and portability with ONNX.
- neuralprocesses — A framework for composing Neural Processes in Python
- nevergrad — A Python toolbox for performing gradient-free optimization
- nnabla-converter — NNabla File Format Converter
- nobrainer — A framework for developing neural network models for 3D image processing.
- non-param-score-est — Non parametric score function estimation library
- not-tf-opt — A package that provides a nicer interface to various TF 2.0 optimizers.
- numpyro — Pyro PPL on NumPy
- numpyro-ext — A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work
- numpyro-ncx2 — A non-central chi-squared distribution for numpyro
- obfuscated-convo-new-version-abdo — Convo: the AI powered chatbot API 2.0
- odin-ai — Deep learning for research and production
- olymp — Benchmarking framework for noisy optimization and experiment planning
- onlineProdebnet — implementaion of IEEE tvcg paper: Online Projector Deblurring Using a Convolutional Neural Network
- oodeel — Simple, compact, and hackable post-hoc deep OOD detection for alreadytrained tensorflow or pytorch image classifiers.
- openwakeword — An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity
- oryx — Probabilistic programming and deep learning in JAX
- paiutils — An artificial intelligence utilities package built to remove the delays of machine learning research.
- pararealml — A machine learning boosted parallel-in-time differential equation solver framework
- pfl — Simulation framework for Private Federated Learning
- phasespace — TensorFlow implementation of the Raubold and Lynch method for n-body events
- poisson-CNN — A convolutional neural network based Poisson solver
- probabilistic-loss-functions — no summary
- probabilistic-word-embeddings — Probabilistic Word Embeddings for Python
- probflow — A Python package for building Bayesian models with TensorFlow or PyTorch
- psiz — Toolbox for inferring psychological embeddings.
- py-outrider — Python backend package for OUTRIDER2 R package