93 Repositories
Python continuous-delivery Libraries
SurfEmb (CVPR 2022) - SurfEmb: Dense and Continuous Correspondence Distributions
SurfEmb SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings Rasmus Laurvig Haugard, A
code for paper"3D reconstruction method based on a generative model in continuous latent space"
PyTorch implementation of 3D-VGT(3D-VAE-GAN-Transformer) This repository contains the source code for the paper "3D reconstruction method based on a g
Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
Continuous-Time Meta-Learning with Forward Mode Differentiation ICLR 2022 (Spotlight) - Installation - Example - Citation This repository contains the
A pure PyTorch batched computation implementation of "CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition"
A pure PyTorch batched computation implementation of "CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition"
JAXMAPP: JAX-based Library for Multi-Agent Path Planning in Continuous Spaces
JAXMAPP: JAX-based Library for Multi-Agent Path Planning in Continuous Spaces JAXMAPP is a JAX-based library for multi-agent path planning (MAPP) in c
Pytorch Implementation for Dilated Continuous Random Field
DilatedCRF Pytorch implementation for fully-learnable DilatedCRF. If you find my work helpful, please consider our paper: @article{Mo2022dilatedcrf,
This repository contains the source code for the paper Tutorial on amortized optimization for learning to optimize over continuous domains by Brandon Amos
Tutorial on Amortized Optimization This repository contains the source code for the paper Tutorial on amortized optimization for learning to optimize
The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.
MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces This is a repository for the following pape
Continuous Security Group Rule Change Detection & Response at scale
Introduction Get notified of Security Group Changes across all AWS Accounts & Regions in an AWS Organization, with the ability to respond/revert those
Weblate is a copylefted libre software web-based continuous localization system
Weblate is a copylefted libre software web-based continuous localization system, used by over 2500 libre projects and companies in more than 165 count
Soft actor-critic is a deep reinforcement learning framework for training maximum entropy policies in continuous domains.
This repository is no longer maintained. Please use our new Softlearning package instead. Soft Actor-Critic Soft actor-critic is a deep reinforcement
ARRU seismic backprojection - Earthquake waveform detection and P/S arrivals picking on continuous data using ARRU phase picker
ARRU_seismic_backprojection Earthquake waveform detection and P/S arrivals picki
CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
CoMoGAN: Continuous Model-guided Image-to-Image Translation Official repository. Paper CoMoGAN: continuous model-guided image-to-image translation [ar
SAVI2I: Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
SAVI2I: Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors [Paper] [Project Website] Pytorch implementation for SAVI2I. We
Mlcode - Continuous ML API Integrations
mlcode Basic APIs for ML applications. Django REST Application Contains REST API
An distributed automation framework.
Automation Kit Repository Welcome to the Automation Kit repository! Note: This package is progressing quickly but is not yet ready for full production
pypyr task-runner cli & api for automation pipelines.
pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.
Changelog CI is a GitHub Action that enables a project to automatically generate changelogs
What is Changelog CI? Changelog CI is a GitHub Action that enables a project to automatically generate changelogs. Changelog CI can be triggered on pu
RapiDAST provides a framework for continuous, proactive and fully automated dynamic scanning against web apps/API.
RapiDAST RapiDAST provides a framework for continuous, proactive and fully automated dynamic scanning against web apps/API. Its core engine is OWASP Z
Extract continuous and discrete relaxation spectra from G(t)
pyReSpect-time Extract continuous and discrete relaxation spectra from stress relaxation modulus G(t). The papers which describe the method and test c
Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Scene Representation Networks This is the official implementation of the NeurIPS submission "Scene Representation Networks: Continuous 3D-Structure-Aw
Kaggle Competition using 15 numerical predictors to predict a continuous outcome.
Kaggle-Comp.-Data-Mining Kaggle Competition using 15 numerical predictors to predict a continuous outcome as part of a final project for a stats data
A delivery protection and notification system
DeliveryProtect This project builds a delivery protection and notification system, based on integration of Arduino Uno and Raspberry Pi 4. The codes a
Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
PyTorch implementation of Continuous Augmented Positional Embeddings (CAPE), by Likhomanenko et al. Enhance your Transformer positional embeddings with easy-to-use augmentations!
Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks
Continuous Sparsification Implementation of Continuous Sparsification (CS), a method based on l_0 regularization to find sparse neural networks, propo
Official repository for: Continuous Control With Ensemble DeepDeterministic Policy Gradients
Continuous Control With Ensemble Deep Deterministic Policy Gradients This repository is the official implementation of Continuous Control With Ensembl
A database-based CDN node supporting PostgreSQL and MongoDB backends.
A simple to use database-based deployable CDN node for hobbyist developers who wish to have their own CDN!
CD) in machine learning projectsImplementing continuous integration & delivery (CI/CD) in machine learning projects
CML with cloud compute This repository contains a sample project using CML with Terraform (via the cml-runner function) to launch an AWS EC2 instance
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Softlearning Softlearning is a deep reinforcement learning toolbox for training maximum entropy policies in continuous domains. The implementation is
Learning Continuous Signed Distance Functions for Shape Representation
DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et a
A simple python application for running a CI pipeline locally
A simple python application for running a CI pipeline locally This app currently supports GitLab CI scripts
Bodywork deploys machine learning projects developed in Python, to Kubernetes.
Bodywork deploys machine learning projects developed in Python, to Kubernetes. It helps you to: serve models as microservices execute batch jobs run r
This repo holds codes of the ICCV21 paper: Visual Alignment Constraint for Continuous Sign Language Recognition.
VAC_CSLR This repo holds codes of the paper: Visual Alignment Constraint for Continuous Sign Language Recognition.(ICCV 2021) [paper] Prerequisites Th
A utility tool to create .env files
A utility tool to create .env files dump-env takes an .env.template file and some optional environmental variables to create a new .env file from thes
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Streamz helps you build pipelines to manage continuous streams of data
Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.
MLOps will help you to understand how to build a Continuous Integration and Continuous Delivery pipeline for an ML/AI project.
page_type languages products description sample python azure azure-machine-learning-service azure-devops Code which demonstrates how to set up and ope
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment
Preference-Planning-Deep-IRL Introduction Check my portfolio post Dependencies Gym stable-baselines3 PyTorch Usage Take Demonstration python3 record.
The PyTorch based implementation of continuous integrate-and-fire (CIF) module.
CIF-PyTorch This is a PyTorch based implementation of continuous integrate-and-fire (CIF) module for end-to-end (E2E) automatic speech recognition (AS
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks
Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks This is the master thesi
Off-policy continuous control in PyTorch, with RDPG, RTD3 & RSAC
arXiv technical report soon available. we are updating the readme to be as comprehensive as possible Please ask any questions in Issues, thanks. Intro
A system for managing CI data for Mozilla projects
Treeherder Description Treeherder is a reporting dashboard for Mozilla checkins. It allows users to see the results of automatic builds and their resp
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix Tuning Files: . ├── gpt2 # Code for GPT2 style autoregressive LM │ ├── train_e2e.py # high-level script
navigation_commander is a ROS package to command the robot to navigate autonomously to each table for food delivery inside a hotel.
navigation_commander navigation_commander is a ROS package to command the robot to navigate autonomously to each table for food delivery inside a hote
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Introduction This is the repository of our accepted CIKM 2021 paper "Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Trans
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes This repository contains the source code accompanying the paper: FlexConv: C
PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces
Exploring Munchausen Reinforcement Learning This is the project repository of my team in the "Advanced Deep Learning for Robotics" course at TUM. Our
Continuous form of the game Wits & Wagers
wager Continuous form of the game Wits & Wagers Requires: Pygame, Pygame_gui
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Requirements The code is implemented in Python and requires
Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".
DeepOrder Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing". Project
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
CRFConv This repository is the implementation of "Continuous Conditional Random Field Convolution for Point Cloud Segmentation" 1. Setup 1) Building c
Continuous Time LiDAR odometry
CT-ICP: Elastic SLAM for LiDAR sensors This repository implements the SLAM CT-ICP (see our article), a lightweight, precise and versatile pure LiDAR o
Vision-and-Language Navigation in Continuous Environments using Habitat
Vision-and-Language Navigation in Continuous Environments (VLN-CE) Project Website — VLN-CE Challenge — RxR-Habitat Challenge Official implementations
Implementation of algorithms for continuous control (DDPG and NAF).
DEPRECATION This repository is deprecated and is no longer maintaned. Please see a more recent implementation of RL for continuous control at jax-sac.
A clean and robust Pytorch implementation of PPO on continuous action space.
PPO-Continuous-Pytorch I found the current implementation of PPO on continuous action space is whether somewhat complicated or not stable. And this is
Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a continuous parameter.
Functional Data Analysis Python package
Lorien: A Unified Infrastructure for Efficient Deep Learning Workloads Delivery
Lorien: A Unified Infrastructure for Efficient Deep Learning Workloads Delivery Lorien is an infrastructure to massively explore/benchmark the best sc
Code for the ICASSP-2021 paper: Continuous Speech Separation with Conformer.
Continuous Speech Separation with Conformer Introduction We examine the use of the Conformer architecture for continuous speech separation. Conformer
Extendable payload obfuscation and delivery framework
NSGenCS What Is? An extremely simple, yet extensible framework to evade AV with obfuscated payloads under Windows. Installation Requirements Currently
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-a2c-ppo-acktr Update (April 12th, 2021) PPO is great, but Soft Actor Critic can be better for many continuous control tasks. Please check out
Nasdaq Cloud Data Service (NCDS) provides a modern and efficient method of delivery for realtime exchange data and other financial information. This repository provides an SDK for developing applications to access the NCDS.
Nasdaq Cloud Data Service (NCDS) Nasdaq Cloud Data Service (NCDS) provides a modern and efficient method of delivery for realtime exchange data and ot
LOC-FLOW is an “hands-free” earthquake location workflow to process continuous seismic records
LOC-FLOW is an “hands-free” earthquake location workflow to process continuous seismic records: from raw waveforms to well located earthquakes with magnitude calculations. The package assembles several popular routines for sequential earthquake location refinements, suitable for catalog building ranging from local to regional scales.
PyTorch implementation for Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition.
Stochastic CSLR This is the PyTorch implementation for the ECCV 2020 paper: Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuou
This is the codebase for the ICLR 2021 paper Trajectory Prediction using Equivariant Continuous Convolution
Trajectory Prediction using Equivariant Continuous Convolution (ECCO) This is the codebase for the ICLR 2021 paper Trajectory Prediction using Equivar
PyTorch implementation of Trust Region Policy Optimization
PyTorch implementation of TRPO Try my implementation of PPO (aka newer better variant of TRPO), unless you need to you TRPO for some specific reasons.
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
Deep Continuous Clustering Introduction This is a Pytorch implementation of the DCC algorithms presented in the following paper (paper): Sohil Atul Sh
PyTorch implementation for MINE: Continuous-Depth MPI with Neural Radiance Fields
MINE: Continuous-Depth MPI with Neural Radiance Fields Project Page | Video PyTorch implementation for our ICCV 2021 paper. MINE: Towards Continuous D
Implement A3C for Mujoco gym envs
pytorch-a3c-mujoco Disclaimer: my implementation right now is unstable (you ca refer to the learning curve below), I'm not sure if it's my problems. A
Continuous Diffusion Graph Neural Network
We present Graph Neural Diffusion (GRAND) that approaches deep learning on graphs as a continuous diffusion process and treats Graph Neural Networks (GNNs) as discretisations of an underlying PDE.
On the model-based stochastic value gradient for continuous reinforcement learning
On the model-based stochastic value gradient for continuous reinforcement learning This repository is by Brandon Amos, Samuel Stanton, Denis Yarats, a
A tight inclusion function for continuous collision detection
Tight-Inclusion Continuous Collision Detection A conservative Continuous Collision Detection (CCD) method with support for minimum separation. You can
Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs
Continuous Query Decomposition This repository contains the official implementation for our ICLR 2021 (Oral) paper, Complex Query Answering with Neura
Distribution Analyser is a Web App that allows you to interactively explore continuous distributions from SciPy and fit distribution(s) to your data.
Distribution Analyser Distribution Analyser is a Web App that allows you to interactively explore continuous distributions from SciPy and fit distribu
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
PG-MORL This repository contains the implementation for the paper Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Contro
Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.
gHHC Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, D
Make tree planting a part of your daily workflow. 🌳
Continuous Reforestation Make tree planting a part of your daily workflow. 🌳 A GitHub Action for planting trees within your development workflow usin
[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space by Quande Liu, Cheng Chen, Ji
Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.
Welcome to the Spinnaker Project Spinnaker is an open-source continuous delivery platform for releasing software changes with high velocity and confid
Continuous Archiving for Postgres
WAL-E Continuous archiving for Postgres WAL-E is a program designed to perform continuous archiving of PostgreSQL WAL files and base backups. To corre
🎯 A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not
Web based localization tool with tight version control integration.
Weblate is a copylefted libre software web-based continuous localization system, used by over 1150 libre projects and companies in more than 115 count
Analytics service that is part of iter8. Robust analytics and control to unleash cloud-native continuous experimentation.
iter8-analytics iter8 enables statistically robust continuous experimentation of microservices in your CI/CD pipelines. For in-depth information about
Was an interactive continuous Python profiler.
☠ This project is not maintained anymore. We highly recommend switching to py-spy which provides better performance and usability. Profiling The profi
Python-based continuous integration testing framework; your pull requests are more than welcome!
Buildbot The Continuous Integration Framework Buildbot is based on original work from Brian Warner, and currently maintained by the Botherders. Visit
Local continuous test runner with pytest and watchdog.
pytest-watch -- Continuous pytest runner pytest-watch a zero-config CLI tool that runs pytest, and re-runs it when a file in your project changes. It
Command line driven CI frontend and development task automation tool.
tox automation project Command line driven CI frontend and development task automation tool At its core tox provides a convenient way to run arbitrary
Plug and play continuous integration with django and jenkins
django-jenkins Plug and play continuous integration with Django and Jenkins Installation From PyPI: $ pip install django-jenkins Or by downloading th
Learning Continuous Image Representation with Local Implicit Image Function
LIIF This repository contains the official implementation for LIIF introduced in the following paper: Learning Continuous Image Representation with Lo
A Python library for the Buildkite API
PyBuildkite A Python library and client for the Buildkite API. Usage To get the package, execute: pip install pybuildkite Then set up an instance of
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
MiraiML Mirai: future in japanese. MiraiML is an asynchronous engine for continuous & autonomous machine learning, built for real-time usage. Usage In
A light-weight, modular, message representation and mail delivery framework for Python.
Marrow Mailer A highly efficient and modular mail delivery framework for Python 2.6+ and 3.2+, formerly called TurboMail. © 2006-2019, Alice Bevan-McG