22 Repositories
Python wrappers Libraries
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th
PyTorch wrappers for using your model in audacity!
audacitorch This package contains utilities for prepping PyTorch audio models for use in Audacity. More specifically, it provides abstract classes for
Python wrappers for INHECO ODTC and SCILA libraries by INHECO GmbH.
Python wrappers for INHECO ODTC and SCILA libraries by INHECO GmbH.
Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.
SymEngine Python Wrappers Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library. Installation Pip See License section
Bringing Async Capabilities to django ORM
Bringing Async Capabilities to django ORM
Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments
SuperSuit introduces a collection of small functions which can wrap reinforcement learning environments to do preprocessing ('microwrappers'). We supp
Custom SLURM wrapper scripts to make finding job histories and system resource usage more easily accessible
SLURM Wrappers Executables job-history A simple wrapper for grabbing data for completed and running jobs. nodes-busy Developed for the HPC systems at
Use webpack to generate your static bundles without django's staticfiles or opaque wrappers.
django-webpack-loader Use webpack to generate your static bundles without django's staticfiles or opaque wrappers. Django webpack loader consumes the
PyTorch wrappers for using your model in audacity!
PyTorch wrappers for using your model in audacity!
Python wrappers for external BART computational imaging tools and internal libraries
bartpy Python bindings for BART. Overview This repo contains code to generate an updated Python wrapper for the Berkeley Advance Reconstruction Toolbo
OptaPlanner wrappers for Python. Currently significantly slower than OptaPlanner in Java or Kotlin.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
Wrappers around the most common maya.cmds and maya.api use cases
Maya FunctionSet (maya_fn) A package that decompose core maya.cmds and maya.api features to a set of simple functions. Tests The recommended approach
SigOpt wrappers for scikit-learn methods
SigOpt + scikit-learn Interfacing This package implements useful interfaces and wrappers for using SigOpt and scikit-learn together Getting Started In
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Regularized Greedy Forest Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better r
A Python module for decorators, wrappers and monkey patching.
wrapt The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function
Tool to generate wrappers for Linux libraries allowing for dlopen()ing them without writing any boilerplate
Dynload wrapper This program will generate a wrapper to make it easy to dlopen() shared objects on Linux without writing a ton of boilerplate code. Th
scikit-learn wrappers for Python fastText.
skift scikit-learn wrappers for Python fastText. from skift import FirstColFtClassifier df = pandas.DataFrame([['woof', 0], ['meow', 1]], colu
Parallel t-SNE implementation with Python and Torch wrappers.
Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo
scikit-learn wrappers for Python fastText.
skift scikit-learn wrappers for Python fastText. from skift import FirstColFtClassifier df = pandas.DataFrame([['woof', 0], ['meow', 1]], colu
Parallel t-SNE implementation with Python and Torch wrappers.
Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo
Tools, wrappers, etc... for data science with a concentration on text processing
Rosetta Tools for data science with a focus on text processing. Focuses on "medium data", i.e. data too big to fit into memory but too small to necess
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Regularized Greedy Forest Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better r