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bayesian-stats-talk

Doing Bayesian statistics in Python!

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

beamfe

Finite element beam model in Python

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

binvox-rw-py

Python module to read and write .binvox files.

block

An intelligent block matrix library for numpy, PyTorch, and beyond.

borb

borb is a library for reading, creating and manipulating PDF files in python.

boundary-first-flattening

bplustree

An on-disk B+tree for Python 3

bridges

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

bsdiff4

binary diff and patch using the BSDIFF4-format

burst

Command-line tool to remotely execute code in the cloud

cadquery

CadQuery-- a parametric cad script framework

cadquery-1

A python parametric CAD scripting framework based on OCCT

categorical_encoding

A library of sklearn compatible categorical variable encoders

catt

Cast All The Things allows you to send videos from many, many online sources to your Chromecast.

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

cell_tree2d

Cell Tree data structure for fast searching of an unstructured grid for the polygon containing the specified point

cgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

cheatsheets

Official Matplotlib cheat sheets

ci_edit

A terminal text editor with mouse support and ctrl+Q to quit.

cloud-volume

Read and write Neuroglancer datasets programmatically.

coda

code_py

A collection of well-commented code snippets for data science

codesnippets

Small pieces of code

codie-d3plot

Module to read LS-Dyna results file with python

colorization_using_optimization

A python implementation of the Colorization Using Optimization algorithm

computation_using_python

Resources for Computation using Python

coms4995-s20

COMS W4995 Applied Machine Learning - Spring 20