6060 Open source projects that are alternatives of or similar to Pycurious

Simulation-based inference in PyTorch

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Fast and Easy Infinite Neural Networks in Python

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Scalable inference for a generative model of astronomical images

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

PyMC3 educational resources

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Variational autoencoders for collaborative filtering

A collection of Bayesian data analysis recipes using PyMC3

Generalized linear mixed-effect model in Python

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Statistical Rethinking with PyTorch and Pyro

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Code for "A-NICE-MC: Adversarial Training for MCMC"

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian Data Analysis demos for Python

Documentation, data, and some source code for challenge participants.

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

A little benchmark comparing Pandas data frames serialization formats

Pyncov-19: Learn and predict the spread of COVID-19

패스트캠퍼스 텍스트마이닝을 위한 머신러닝 실습 자료실

☕⛵WIP PySpark dependency management

COSE474: Deep Learning @ Korea University

Modern Data Science

Materials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Projet de prédiction de transplantation pulmonaire en partenariat avec l'hôpital Foch

TensorFlow implementation of "DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks"

Material de apoio do curso "Data Science na Prática" - Sigmoidal

Detecting Covid-19 from X-ray

🎵Using GPT2-Chinese to generate rap lyrics🎵

Automating Your Data Pipeline with Apache Airflow

Code for Coursera's Machine Learning and Data Analysis specialization

IAML Labs Repository

A collection of resources and Jupyter notebooks from my blog.

Solutions for projects.

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Exploratory Project on Fast Screen Space Global Illumination

Machine learning algorithms implemented by pure numpy

Convert TensorFlow models to ONNX

A Jupyter notebook covering SQL basics with SQLite

MachineLearningExp.com projects

Text Mining in Python

Introduction to Data Science

Series of Tensorflow Tutorials

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

Learn Python Fast With Jupiter Notebook

Constraint Satisfaction Problem lab to solve the N-Queens problem

This is the code for "Decentralized Games" By Siraj Raval