## probability

Probabilistic reasoning and statistical analysis in TensorFlow (by tensorflow)

# Probability Alternatives

## Similar projects and alternatives to probability

• ### PyMC

probability VS PyMC

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

• ### uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

• ### Scout APM

Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and ﻿external services monitoring, Scout is a developer's best friend when it comes to application development.

• ### stan

probability VS stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

• ### trulens

probability VS trulens

Library containing attribution and interpretation methods for deep nets.

• ### zero-to-mastery-ml

probability VS zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.

• ### cs229-2018-autumn

probability VS cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

• ### pyro

probability VS pyro

Deep universal probabilistic programming with Python and PyTorch

• ### SonarLint

Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

• ### DataScienceProjects

probability VS DataScienceProjects

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

• ### arviz

probability VS arviz

Exploratory analysis of Bayesian models with Python

• ### YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras

Build a recurrent neural network using TensorFlow and Keras.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better probability alternative or higher similarity.

## probability reviews and mentions

Posts with mentions or reviews of probability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-27.
• Is anyone here working in uncertainty estimation in neural networks?
2 projects | reddit.com/r/learnmachinelearning | 27 Apr 2022
• [Q] Sociology PhD Student with Interest in Statistical Programming/Data Science
2 projects | reddit.com/r/statistics | 16 Mar 2022
As others have said, R for academia, Python for industry. However, i'd also throw Stan into the mix, along with other PPL frameworks like Tensorflow Probability and Pyro. The latter two will require you to learn Python first, though.
• [D] Bayesian Regression or GPs in production?
1 project | reddit.com/r/MachineLearning | 30 Jan 2022
• What is Probabilistic Programming?
4 projects | reddit.com/r/learnmachinelearning | 6 Sep 2021
This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing
• Problem in installing tensorflow on Raspberry Pi 4b
1 project | reddit.com/r/engineering | 24 Mar 2021
2021-03-20 20:09:56.451490: E tensorflow/core/platform/hadoop/hadoopfile_system.cc:132] HadoopFileSystem load error: libhdfs.so: cannot open shared object file: No such file or directory WARNING:tensorflow:From /home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/python/ops/distributions/distribution.py:265: ReparameterizationType.init_ (from tensorflow.python.ops.distributions.distribution) is deprecated and will be removed after 2019-01-01. Instructions for updating: The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use tfp.distributions instead of tf.distributions. WARNING:tensorflow:From /home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflowcore/python/ops/distributions/bernoulli.py:169: RegisterKL.init_ (from tensorflow.python.ops.distributions.kullbackleibler) is deprecated and will be removed after 2019-01-01. Instructions for updating: The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use tfp.distributions instead of tf.distributions. ERROR thonny.backend: PROBLEM WITH THONNY'S BACK-END Traceback (most recent call last): File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 1240, in wrapper result = method(self, args, *kwargs) File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 1227, in wrapper return method(self, args, *kwargs) File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 1297, in _execute_prepared_user_code exec(statements, global_vars) File "/home/pi/Desktop/security/security_system_v2.py", line 10, in import tensorflow as tf File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow/init.py", line 98, in from tensorflow_core import * File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/init.py", line 28, in from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "", line 1019, in _handle_fromlist File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow/init.py", line 50, in __getattr_ module = self.load() File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow/init.py", line 44, in _load module = _importlib.import_module(self.name) File "/usr/lib/python3.7/importlib/init.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/python/init.py", line 88, in from tensorflow.python import keras File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/python/keras/init.py", line 26, in from tensorflow.python.keras import activations File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/python/keras/init.py", line 26, in from tensorflow.python.keras import activations File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/python/keras/activations.py", line 23, in from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/python/keras/utils/init.py", line 34, in from tensorflow.python.keras.utils.io_utils import HDF5Matrix File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/tensorflow_core/python/keras/utils/io_utils.py", line 30, in import h5py File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "/home/pi/.virtualenvs/cv/lib/python3.7/site-packages/h5py/init_.py", line 25, in from . import _errors File "/usr/lib/python3/dist-packages/thonny/plugins/cpython/cpython_backend.py", line 314, in _custom_import module = self._original_import(args, *kw) File "h5py/_errors.pyx", line 1, in init h5py._errors ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 44 from C header, got 40 from PyObject
• Tensorflow not utilizing GPU with eager execution
1 project | reddit.com/r/deeplearning | 21 Dec 2020
You implemented much of your model yourself. I have come across this GItHub issue recently where people reported a large slowdown when they were running their self-built models eagerly. It seems to be somewhat similar to yours. One answer (this one: https://github.com/tensorflow/probability/issues/629#issuecomment-551875968) seems to allow people to achieve speedups.

## Stats

Basic probability repo stats
6
3,694
9.7
3 days ago

tensorflow/probability is an open source project licensed under Apache License 2.0 which is an OSI approved license.

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