Reverse Dependencies of tensorflow-probability

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

• 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
• pyDAC — pyDAC (python Directly Addressable Codes) offers a variable-length encoding scheme for (unsigned) integers with random access to any element of the encoded sequence.
• pyhf — pure-Python HistFactory implementation with tensors and autodiff
• pyradox-tabular — State of the Art Neural Networks for Tabular Deep Learning
• pyRDDLGym-jax — pyRDDLGym-jax: automatic differentiation for solving sequential planning problems in JAX.
• python-ldl — Label distribution learning (LDL) and label enhancement (LE) toolkit implemented in python.
• pyvitae — Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior
• qdax — A Python Library for Quality-Diversity and NeuroEvolution
• qdeep — Simple Deep Q Learning framework.
• qhbmlib — Quantum Hamiltonian-Based Models built on TensorFlow Quantum
• quantbet-dyno — QB dynamic models
• RackioAI — A Rackio extension for AI models development
• rasa-hydra — Forked from the open source machine learning framework, Rasa
• rasafou — 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
• reaver — Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo. Matches reference results.
• recsim-ng — RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
• reggy — Python package for regularized regressions.
• ReiL — no summary
• resuber — Software toolbox to re-synchronize and/or translate SRT subtitles from a movie.
• riid — Machine learning-based models and utilities for radioisotope identification
• rl-toolkit — RL-Toolkit: A Research Framework for Robotics
• rlearn — reinforcement learning algorithms in python
• rlgraph — A Framework for Modular Deep Reinforcement Learning
• rlzoo — A collection of reinforcement learning algorithms with hierarchical code structure and convenient APIs.
• rosey-keras — no summary
• rsmine — Optimal coarse graining transformations with RSMI neural estimation
• runml-infuse — Algorithms for outlier detection, concept drift and metrics.
• sb-arch-opt — SBArchOpt: Surrogate-Based Architecture Optimization
• sbiax — Fast, parallel and lightweight simulation-based inference in JAX.
• sbx-rl — Jax version of Stable Baselines, implementations of reinforcement learning algorithms.
• scaae — Adversarial auto-encoders for single-cell transcriptomics.
• scCODA — A Dirichlet-Multinomial approach to identify compositional changes in count data.
• scdef — Extract hierarchical signatures of cell state from single-cell data.
• scENVI — Integration of scRNA-seq and spatial transcriptomics data
• scivae — no summary
• scProjection — Projection and Deconvolution using deep heirarchical and generative neural network.
• scvae — Model single-cell transcript counts using deep learning.
• scVAEIT — scVAEIT is a Python module of Variational autoencoder for single-cell mosaic integration and transfer learning.
• sdevpy — Python package for Machine Learning in Finance
• SFcalculator-tf — A Differentiable pipeline connecting molecule models and crystallpgraphy data
• sgptools — Software Suite for Sensor Placement and Informative Path Planning
• sgvb_psd — A python package for estimating the power spectral density (PSD) of correlated multivariate detector noise using variational inference (VI).
• shafts — Simultaneous building Height And FootprinT extraction from Sentinel Imagery
• shapeguard — ShapeGuard is a tool to help with handling shapes in Tensorflow.
• shengtengconverter — A simple converter for Shengteng
• simelixir — A Python package for 1-D blood flow simulation
• siVAE — scalable and interpretable Variational Autoencoder
• slideflow — Deep learning tools for digital histology
• smarts — no summary
• snaxlib — A simple deep learning library for JAX.
• sourceinversion — A Gaussian plume model simulator and gas emission source inversion package.
• stamox — Accelerate Your Statistical Analysis with JAX.
• synthesized — Synthesized SDK
• synthesized3 — Synthesized SDK.
• Synthius — A toolkit for generating and evaluating synthetic data in terms of utility, privacy, and similarity
• tapas-table-parsing — Tapas: Table-based Question Answering.
• tascCODA — Tree-aggregated compositional analysis for high-throughput sequencing data
• tcellmatch — Predicting T-cell to epitope specificity.
• tcup — no summary
• tensiometer — Tension tools for posterior distributions
• tensor2tensor — Tensor2Tensor
• tensor2tensorManuel — Tensor2TensorManuel
• tensordiffeq — Distributed PDE Solver in Tensorflow
• tensorflow-compression — Data compression in TensorFlow
• tensorflow-gan — TF-GAN: A Generative Adversarial Networks library for TensorFlow.
• tensorflow-ml — Tensorflow ML
• tensorflow-mri — A collection of TensorFlow add-ons for computational MRI.
• tensorflow-privacy — A privacy-focused machine learning framework
• tensorflow-wavelets — Tensorflow wavelet Layers
• TensorQuant — TensorFlow-Python financial library
• tf-agents — TF-Agents: A Reinforcement Learning Library for TensorFlow
• tf-pde — Deep learning library for solving partial differential equations
• tf-quant-finance — High-performance TensorFlow library for quantitative finance.
• tf-simple-metric-learning — Metric learning layers with tf.keras
• tf2-bfgs — Wrapper to train a tf.Module or tf.keras.Model using (L)BFGS optimizer from Tensorflow Probability
• tfcausalimpact — Python version of Google's Causal Impact model on top of Tensorflow Probability.
• tff-nightly — High-performance TensorFlow library for quantitative finance.
• TFGENZOO — helper of building generative model with Tensorflow 2.x
• tfmpc — An implementation of model-predictive control algorithms using TensorFlow 2
• tfp-causalimpact — Inferring causal effects using Bayesian Structural Time-Series models
• thermoextrap — Thermodynamic extrapolation
• tomographic-kernel — A Tomographic Kernel in JAX for tomographic Gaussian processes.
• topicpy — Package to extract information from topic models.
• trfl — trfl is a library of building blocks for reinforcement learning algorithms.
• trieste — A Bayesian optimization research toolbox built on TensorFlow
• tspace — io interface
• twodlearn — Easy development of machine learning models
• ued — Efficient baselines for autocurricula in JAX
• uncertainty-metrics — Uncertainty Metrics
• uncwrap — Sklearn wrapper for classifications system that computes the prediction uncertainty
• unlockNN — Uncertainty quantification for neural network models of chemical systems.
• van-classification-tensorflow — TensorFlow 2.X reimplementation of Visual Attention Network, Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu.
• vijax — A JAX library to run VI.
• vindy — AESINDy is a Python package for automated system identification of low-dimensional systems combining autoencoders and SINDy.
• vitamin-b — A user-friendly machine learning Bayesian inference library