16 February 2020 Flask/React client for visualizing pandas data structures D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures.
15 February 2020 An open-sourced project aimed to bring the power of AI to the command line Command Line Artificial Intelligence CLAI is an open-sourced project aimed to bring the power of AI to the command line.
15 February 2020 A high performance topological machine learning toolbox in Python giotto-tda is a high performance topological machine learning toolbox in Python built on top of scikit-learn and is distributed under the GNU AGPLv3 license.
14 February 2020 Simple and rapid framework to build workflows using Celery Director is a simple and rapid framework used to manage tasks and build workflows using Celery.
14 February 2020 Evaluating Weakly Supervised Object Localization Methods Right Evaluating Weakly Supervised Object Localization Methods Right.
14 February 2020 A state of the art knowledge base and complex simulation suite ZincBase is a state of the art knowledge base and complex simulation suite.
14 February 2020 A terminal viewer for x86 instruction/intrinsic information using Python x86-info-term is a curses-based viewer for x86 instruction info built with Python 3.
13 February 2020 A flexible and powerful NLP pipeline FOR TExt Forte is a toolkit for building Natural Language Processing pipelines, featuring cross-task interaction, adaptable data-model interfaces and many more.
13 February 2020 PyTorch for Semantic Segmentation This repository contains some models for semantic segmentation and the pipeline of training and testing models, implemented in PyTorch.
13 February 2020 A PyTorch implementation of Neighbourhood Components Analysis A PyTorch implementation of Neighbourhood Components Analysis by J. Goldberger, G. Hinton, S. Roweis, R. Salakhutdinov.
12 February 2020 A topic maps-based semantic graph library TopicDB is a topic map-based graph library (using PostgreSQL for persistence).
12 February 2020 A generalist algorithm for cell and nucleus segmentation a generalist algorithm for cellular segmentation
12 February 2020 Post processing video magic with ZoneMinder zmMagik will be a list of growing foo-magic things you can do with video images that ZM stores.
11 February 2020 A Python Library for Alpha Matting We introduce the PyMatting package for Python which implements various methods to solve the alpha matting problem.
11 February 2020 A library that provides a systematic and extensible way using PyTorch PyTorch Wrapper is a library that provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
11 February 2020 Generating Digital Painting Lighting Effects via RGB-space Geometry PaintingLight is a project conducted by the Style2Paints team, aimed at finding a method to manipulate the illumination in digital paintings.
10 February 2020 Blender addons to make the bridge between Blender and geographic data Mac users warning : currently the addon does not work anymore on Mac because of an issue relative to Blender Mac build itself.
10 February 2020 Benchmarks for Object Detection in Aerial Images This codebase is created to build benchmarks for object detection in aerial images. It is modified from mmdetection.
09 February 2020 The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
09 February 2020 Milky Way and Andromeda Galaxies Collision Simulated in VPython Galactic Collision is a program that allows to simulate Milky Way and Andromeda Galaxies Collision in Real Time.
09 February 2020 Code for Mesh R-CNN an academic publication code for Mesh R-CNN, an academic publication, presented at ICCV 2019.
08 February 2020 Build fully-functioning computer vision models with 5 lines of code Detecto is a Python package that allows you to build fully-functioning computer vision and object detection models with just 5 lines of code.
07 February 2020 Python's Best Automated Time Series Models Easily develop state of the art time series models to forecast univariate data series. Simply load your data and select which models you want to test.
07 February 2020 A CUDA implementation of fused LSTM and GRU layers Haste is a CUDA implementation of fused LSTM and GRU layers with built-in DropConnect and Zoneout regularization.