Reverse Dependencies of tensorflow-probability

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

• abdelrahman-obfuscate — Convo: the AI powered chatbot API 2.0
• abdo — kjdfdlsjlkdfl
• abdo-obfuscate — Obfuscate Convo Test
• abdoconvo — dynamic forms updated
• abismal — Stochastic merging for diffraction data.
• aboleth — Bayesian supervised deep learning with TensorFlow
• 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.
• agrivoltaics-supply-side-management — Optimizes Supply Side Management with Agrivoltaics by Artificial Intelligence
• aidatafactory — Data factory for producing synthetic data.
• alectio-sdk — Integrate customer side ML application with the Alectio Platform
• alibi-detect — Algorithms for outlier detection, concept drift and metrics.
• angorapy — Build Goal-driven Models of the Sensorimotor Cortex with Ease.
• anon — Research workspace.
• antspyt1w — T1w human neuroimage processing with antspyx
• 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.
• augmix-tf — An implementation of novel data augmentation AugMix (2020) in TensorFlow. It runs on TPU.
• autopycoin — Deep learning models for forecasting purposes.
• b4tf — Bayian Neural Network for TensorFlow
• baconian — model-based reinforcement learning toolbox
• bark-ml — Gym Environments and Agents for Autonomous Driving
• bayes-jones — Bayesian inference of Jones matrices.
• bayes-mapvar — Bayesian Maximum a Posteriori/Variance estimation
• bayes-vi — A package for bayesian inference
• bayesflow — "Amortizing Bayesian Inference With Neural Networks"
• bayesnf — Scalable spatiotemporal prediction with Bayesian neural fields
• bayeux-ml — Stitching together probabilistic models and inference.
• bear-model — Python package implementing the BEAR generative sequence model.
• beliefppg — Taking multi-channel PPG and Accelerometer signals as input, BeliefPPG predicts the instantaneous heart rate and provides an uncertainty estimate for the prediction.
• bellman — A Toolbox for Model-Based Reinforcement Learning in TensorFlow
• benchmark-mi — Estimators of mutual information and distributions used to benchmark them.
• blackbox-mpc — BlackBox MPC - Model Predictive Control withsampling based optimizers
• bnnsurv — TensorFlow 2.x Bayesian Neural Network for Survival Analysis
• bojaxns — Bayesian Optimisation with JAXNS
• BPrune — Bayesiean Neural Network Pruning Library
• bwmd — Fast text similarity with binary encoded word embeddings.
• c3-toolset — Toolset for control, calibration and characterization of physical systems
• c3-toolset-nightly — Toolset for control, calibration and characterization of physical systems
• c4v-py — Code for Venezuela python library.
• cantorProject — A set of tools to numerically solve differential equations using Neural Networks.
• careless — Merging crystallography data without much physics.
• cdrnn — A toolkit for continuous-time deconvolutional regression (CDR)
• chady — A package for ML libraries
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• chrombpnet — chrombpnet predicts chromatin accessibility from sequence
• cleverhans — no summary
• ColorTransferLib — This library provides color and tyle transfer algorithms which were published in scientific papers. Additionall a set of IQA metrics are available.
• convo-engine — Convo: the AI powered chatbot API 2.0
• convo-latest — Convo: the AI powered chatbot API 2.0
• convo-n2 — Convo: the AI powered chatbot API 2.0
• convo-new-version-abdo — Convo: the AI powered chatbot API 2.0
• convo-nl2 — Convo: the AI powered chatbot API 2.0
• convo-nlu — Convo: the AI powered chatbot API 2.0
• convo-nlu2 — Convo: the AI powered chatbot API 2.0
• convo-tt — Convo: the AI powered chatbot API 2.0
• convo5 — Convo: the AI powered chatbot API
• convo6 — Convo: the AI powered chatbot API
• convo7 — Convo: the AI powered chatbot API
• convoxxx — Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
• COOM — COOM: Benchmarking Continual Reinforcement Learning on Doom
• corl — Core ACT3 Reinforcement Learning (RL) Library - Core framework and base implementations of common things such as controllers, glues, observes, sensors, evaluation, and etc
• cosmopower — Machine Learning - accelerated Bayesian inference
• CurriculumAgent — CurriculumAgent is a cleanup and improved version of the NeurIPS 2020 Competition Agent by Binbinchen.The agent is build to extract action sets of the Grid2Op Environment and then use rule-based agent to train a Reinforcement Learning agent.
• cvt-tensorflow — TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang.
• daml — DAML provides a simple interface to characterize image data and its impact on model performance across classification and object-detection tasks
• dataeval — DataEval provides a simple interface to characterize image data and its impact on model performance across classification and object-detection tasks
• ddsp — Differentiable Digital Signal Processing
• deepbayes — Package for doing approximate Bayesian inference on deep neural networks [based in TF 2.0+]
• deepchem — Deep learning models for drug discovery, quantum chemistry, and the life sciences.
• deephyper — Scalable asynchronous neural architecture and hyperparameter search for deep neural networks.
• deepmol — DeepMol: a python-based machine and deep learning framework for drug discovery
• deepnull — Models nonlinear interactions between covariates and phenotypes
• DeepSurrogatepin — Deep surrogate model for the probability of informed trading model
• dianna — Deep Insight And Neural Network Analysis
• dienen — Train deep neural networks using configuration files
• DIFFICE-jax — A differentiable neural-network solver for data assimilation of ice shelves written in JAX
• disentanglement-lib — Library for research on disentangled representations.
• distrax — Distrax: Probability distributions in JAX.
• dlomix — Deep Learning for Proteomics
• dmol-book — Style and Imports for dmol Book
• donk.ai — Reinforcement Learning Toolbox
• dopamine-rl — Dopamine: A framework for flexible Reinforcement Learning research
• dvm — The Discrete Voter Model for ecological inference.
• dynamax — Dynamic State Space Models in JAX.
• edward2 — Edward2
• eeg-to-fmri — no summary
• efax — Exponential families for JAX
• effective-horizon — Code for the NeurIPS 2023 paper "Bridging RL Theory and Practice with the Effective horizon" and the ICLR 2024 paper "The Effective Horizon Explains Deep RL Performance in Stochastic Environments".
• einml — Tensorflow utility library
• elle — Library of anonymous finite elements with analytic derivatives.
• emme — Object oriented finite element analysis.
• enformer-dna-diff — This is a package for that combines DeepMind Enformer model with DNA Diffusion project
• epiout — EpiOut: outlier detection for DNA accesibility data.
• ESEm — Earth System Emulator
• estival — A set of calibration and probabilistic programming tools for use with summerepi2
• example-qspec — A small example package
• fastestimator — Deep learning framework
• fastestimator-nightly — Deep learning framework
• fastrlapi — reinforcement learning high-level API.
• fenbux — A Simple Statistical Distribution Library In JAX
• flamedisx — Fast likelihood analysis in more dimensions for xenon TPCs