This is a ROS package for NCNN, a high-performance neural network inference framework.
Austin is a Python frame stack sampler for CPython written in pure C.
Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.
A module for Django that helps you to build pattern libraries and follow the Atomic design methodology.
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
An open source framework for generative image inpainting task, with the support of Contextual Attention (CVPR 2018) and Gated Convolution (ICCV 2019 Oral).
Director is a simple and rapid framework used to manage tasks and build workflows using Celery.
This is a framework for running common deep learning models for point cloud analysis tasks against classic benchmark. It heavily relies on pytorch geometric and hydra core.
Bot Framework Composer is an integrated development tool for developers and multi-disciplinary teams to build bots and conversational experiences with the Microsoft Bot Framework.
Seq is a programming language for computational genomics and bioinformatics.
nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
ΦFlow is a research-oriented, open-source fluid simulation toolkit. It is written mostly in Python and can use both NumPy and TensorFlow for execution.
DeepInsight is a toolbox for the analysis and interpretation of wide-band neural activity and can be applied on unsorted neural data.
TorchSat is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Lanelet2 is a C++ library for handling map data in the context of automated driving.
CrypTen is a framework for Privacy Preserving Machine Learning built on PyTorch.
Poodle is the Python-to-PDDL compiler and automated programming framework in an early stage of development.
learn2learn is a PyTorch library for meta-learning implementations.
PyDriller is a Python framework that helps developers in analyzing Git repositories.
Starter pack for Bokeh plots in a Material Design dashboard interacting with Flask.
MLComp is a distributed DAG (Directed acyclic graph) framework for machine learning with UI.
The PyTorch Keras for ML researchers. More control. Less boilerplate.
Browser Extension Analysis Framework.
A PyTorch-Based Framework for Deep Learning in Computer Vision.