194 Repositories
Python sample-rate-conversion Libraries
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation (CIKM'17)
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation This is the implementation of RATE: Overcoming Noise and Spar
Voice Conversion Using Speech-to-Speech Neuro-Style Transfer
This repo contains the official implementation of the VAE-GAN from the INTERSPEECH 2020 paper Voice Conversion Using Speech-to-Speech Neuro-Style Transfer.
JAWS Pankration 2021 - DDD on AWS Lambda sample
JAWS Pankration 2021 - DDD on AWS Lambda sample What is this project? This project contains sample code for AWS Lambda with domain models. I presented
Korg Volca Sample uploader for linux.
GnuVolca Korg Volca Sample uploader for linux. GnuVolca Usage Installation Via virtualenv Usage Store all the samples you want to upload on an empty d
Sample microservices application demo
Development mode docker-compose -f docker-compose.yml -f docker-compose.dev.yml up -d or export COMPOSE_FILE='docker-compose.yml:docker-compose.dev.ym
Sample scripts to show extracting details directly from the AIQUM database
Sample scripts to show extracting details directly from the AIQUM database
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences forImage-Text Retrieval
NSGDC Some codes in this repo are copied/modified from opensource implementations made available by UNITER, PyTorch, HuggingFace, OpenNMT, and Nvidia.
Sample code for Harry's Airflow online trainng course
Sample code for Harry's Airflow online trainng course You can find the videos on youtube or bilibili. I am working on adding below things: the slide p
Sample code to extract data directly from the NetApp AIQUM MySQL Database
This sample code shows how to connect to the AIQUM Database and pull user quota details from it. AIQUM Requirements: 1. AIQUM 9.7 or higher. 2. An
Sample data for the napari image viewer.
napari-demo-data Sample data for the napari image viewer. This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugi
This is a sample Django Form.
Sample FORM Installation guide Clone repository git clone https://github.com/Ritabratadas343/SampleForm.git cd to repository. Create a virtualenv by f
QR fixer part is standalone but for image to FQR conversion
f-qr-fixer QR fixer part is standalone but for image to FQR conversion it requires Pillow (can be installed with easy_install), qrtools (on ubuntu the
Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
Generalized Proximal Policy Optimization with Sample Reuse This repository is the official implementation of the reinforcement learning algorithm Gene
Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution
Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator This is the official code repository for NeurIPS 2021 paper: CARMS: Categorica
OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Out-of-Distribution Minimum Anomaly Score GAN (OMASGAN) C
Face recognition with trained classifiers for detecting objects using OpenCV
Face_Detector Face recognition with trained classifiers for detecting objects using OpenCV Libraries required to be installed using pip Command: cv2 n
A Pytorch Implementation of a continuously rate adjustable learned image compression framework.
GainedVAE A Pytorch Implementation of a continuously rate adjustable learned image compression framework, Gained Variational Autoencoder(GainedVAE). N
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement
CBREN This is the Pytorch implementation for our IEEE TCSVT paper : CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhanceme
Sample FastAPI project that uses async SQLAlchemy, SQLModel, Postgres, Alembic, and Docker.
FastAPI + SQLModel + Alembic Sample FastAPI project that uses async SQLAlchemy, SQLModel, Postgres, Alembic, and Docker. Want to learn how to build th
Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python
AICSImageIO Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Pure Python Features Supports reading metadata and imaging
The implementation of the submitted paper "Deep Multi-Behaviors Graph Network for Voucher Redemption Rate Prediction" in SIGKDD 2021 Applied Data Science Track.
DMBGN: Deep Multi-Behaviors Graph Networks for Voucher Redemption Rate Prediction The implementation of the accepted paper "Deep Multi-Behaviors Graph
Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform This repository is the implementation of "Variable-Rate Deep Image C
End-to-End Speech Processing Toolkit
ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 1.9.0 ubuntu20/python3.9/pip ubuntu20/python3.8/p
Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, and finding their unique parameters (e.g. death rate).
DINN We introduce Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, a
Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium features
MediumVC MediumVC is an utterance-level method towards any-to-any VC. Before that, we propose SingleVC to perform A2O tasks(Xi → Ŷi) , Xi means utter
An API wrapper for convertio.co written in Python.
An API wrapper for convertio.co written in Python.
A graph neural network (GNN) model to predict protein-protein interactions (PPI) with no sample features
A graph neural network (GNN) model to predict protein-protein interactions (PPI) with no sample features
This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
Github Code of "MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices" Introduction This repo is official PyTorch implementatio
On the Variance of the Adaptive Learning Rate and Beyond
RAdam On the Variance of the Adaptive Learning Rate and Beyond We are in an early-release beta. Expect some adventures and rough edges. Table of Conte
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
SCINet This is the original PyTorch implementation of the following work: Time Series is a Special Sequence: Forecasting with Sample Convolution and I
Code release for the ICML 2021 paper "PixelTransformer: Sample Conditioned Signal Generation".
PixelTransformer Code release for the ICML 2021 paper "PixelTransformer: Sample Conditioned Signal Generation". Project Page Installation Please insta
Sample and Computation Redistribution for Efficient Face Detection
Introduction SCRFD is an efficient high accuracy face detection approach which initially described in Arxiv. Performance Precision, flops and infer ti
Django-Audiofield is a simple app that allows Audio files upload, management and conversion to different audio format (mp3, wav & ogg), which also makes it easy to play audio files into your Django application.
Django-Audiofield Description: Django Audio Management Tools Maintainer: Areski Contributors: list of contributors Django-Audiofield is a simple app t
Django sample app with users including social auth via Django-AllAuth
demo-allauth-bootstrap Simple, out-of-the-box Django all-auth demo app A "brochure" or visitor (no login required) area A members-only (login required
[ICCV2021] IICNet: A Generic Framework for Reversible Image Conversion
IICNet - Invertible Image Conversion Net Official PyTorch Implementation for IICNet: A Generic Framework for Reversible Image Conversion (ICCV2021). D
Sample project showing reliable data ingestion application using FastAPI and dramatiq
Create and deploy a reliable data ingestion service with FastAPI, SQLModel and Dramatiq This is the source code for the data ingestion service explain
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
Demonstration of OpenVINO techniques - Model-division and a simplest-way to support custom layers Description: Model Optimizer in Intel(r) OpenVINO(tm
borb is a library for reading, creating and manipulating PDF files in python.
borb is a library for reading, creating and manipulating PDF files in python.
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li, Ali Zare, Nima Mesgarani We pres
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to a certain level of spatial misalignment in predictions between the two tasks.
StarGAN-ZSVC: Unofficial PyTorch Implementation
This repository is an unofficial PyTorch implementation of StarGAN-ZSVC by Matthew Baas and Herman Kamper. This repository provides both model architectures and the code to inference or train them.
Active and Sample-Efficient Model Evaluation
Active Testing: Sample-Efficient Model Evaluation Hi, good to see you here! 👋 This is code for "Active Testing: Sample-Efficient Model Evaluation". P
This project is a sample demo of Arxiv search related to AI/ML Papers built using Streamlit, sentence-transformers and Faiss.
This project is a sample demo of Arxiv search related to AI/ML Papers built using Streamlit, sentence-transformers and Faiss.
Global Rhythm Style Transfer Without Text Transcriptions
Global Prosody Style Transfer Without Text Transcriptions This repository provides a PyTorch implementation of AutoPST, which enables unsupervised glo
Global Rhythm Style Transfer Without Text Transcriptions
Global Prosody Style Transfer Without Text Transcriptions This repository provides a PyTorch implementation of AutoPST, which enables unsupervised glo
Implementation for "Manga Filling Style Conversion with Screentone Variational Autoencoder" (SIGGRAPH ASIA 2020 issue)
Manga Filling with ScreenVAE SIGGRAPH ASIA 2020 | Project Website | BibTex This repository is for ScreenVAE introduced in the following paper "Manga F
Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations.
S2VC Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations. In thi
A FastAPI Framework for things like Database, Redis, Logging, JWT Authentication and Rate Limits
A FastAPI Framework for things like Database, Redis, Logging, JWT Authentication and Rate Limits Install You can install this Library with: pip instal
PyTorch implementation of ARM-Net: Adaptive Relation Modeling Network for Structured Data.
A ready-to-use framework of latest models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, and etc.
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop a ecosystem to experiment, share, reproduce, and deploy in real world in a smooth and easy way (Hope it can be done).
Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written form.
Neural G2P to portuguese language Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written for
Cloud Native sample microservices showcasing Full Stack Observability using AppDynamics and ThousandEyes
Cloud Native Sample Bookinfo App Observability Bookinfo is a sample application composed of four Microservices written in different languages.
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
Deep Networks from the Principle of Rate Reduction This repository is the official NumPy implementation of the paper Deep Networks from the Principle
Phonetic PosteriorGram (PPG)-Based Voice Conversion (VC)
ppg-vc Phonetic PosteriorGram (PPG)-Based Voice Conversion (VC) This repo implements different kinds of PPG-based VC models. Pretrained models. More m
Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)
Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)
python3 scrip for case conversion of source code files writen in fixed form fortran
convert_FORTRAN_case python3 scrip for case conversion of source code files writen in fixed form fortran python3 scrip for case conversion of source c
Package pyVHR is a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG)
Package pyVHR (short for Python framework for Virtual Heart Rate) is a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG)
Microsoft contributing libraries, tools, recipes, sample codes and workshop contents for machine learning & deep learning.
Microsoft contributing libraries, tools, recipes, sample codes and workshop contents for machine learning & deep learning.
PyTorch implementation of some learning rate schedulers for deep learning researcher.
pytorch-lr-scheduler PyTorch implementation of some learning rate schedulers for deep learning researcher. Usage WarmupReduceLROnPlateauScheduler Visu
An evaluation toolkit for voice conversion models.
Voice-conversion-evaluation An evaluation toolkit for voice conversion models. Sample test pair Generate the metadata for evaluating models. The direc
Official implementation of "One-Shot Voice Conversion with Weight Adaptive Instance Normalization".
One-Shot Voice Conversion with Weight Adaptive Instance Normalization By Shengjie Huang, Yanyan Xu*, Dengfeng Ke*, Mingjie Chen, Thomas Hain. This rep
PyTorch implementation of the paper Deep Networks from the Principle of Rate Reduction
Deep Networks from the Principle of Rate Reduction This repository is the official PyTorch implementation of the paper Deep Networks from the Principl
An evaluation toolkit for voice conversion models.
Voice-conversion-evaluation An evaluation toolkit for voice conversion models. Sample test pair Generate the metadata for evaluating models. The direc
Sample Dockerized flask app deployed on Kubernetes on Azure using AKS
Sample Dockerized flask app deployed on Kubernetes on Azure using AKS
Python sample codes for robotics algorithms.
PythonRobotics Python codes for robotics algorithm. Table of Contents What is this? Requirements Documentation How to use Localization Extended Kalman
Implementation of Kaneko et al.'s MaskCycleGAN-VC model for non-parallel voice conversion.
MaskCycleGAN-VC Unofficial PyTorch implementation of Kaneko et al.'s MaskCycleGAN-VC (2021) for non-parallel voice conversion. MaskCycleGAN-VC is the
End-to-End Speech Processing Toolkit
ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.0.1 1.1.0 1.2.0 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 ubuntu18/python3.8/pip ubuntu18
PlenOctrees: NeRF-SH Training & Conversion
PlenOctrees Official Repo: NeRF-SH training and conversion This repository contains code to train NeRF-SH and to extract the PlenOctree, constituting
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
Stock Market Buy/Sell/Hold prediction Using convolutional Neural Network This repo is an attempt to implement the research paper titled "Algorithmic F
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
Python 3-D coordinate conversions Pure Python (no prerequistes beyond Python itself) 3-D geographic coordinate conversions and geodesy. API similar to
API Rate Limit Decorator
ratelimit APIs are a very common way to interact with web services. As the need to consume data grows, so does the number of API calls necessary to re
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
Python 3-D coordinate conversions Pure Python (no prerequistes beyond Python itself) 3-D geographic coordinate conversions and geodesy. API similar to
Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner This repository is the official implementation of Meta-rPPG: Remote Heart Ra
Conversion of Image, video, text into ASCII format
asciju Python package that converts image to ascii Free software: MIT license
First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing products (Google Ads, Campaign Manager, Google Analytics).
Megalista Sample integration code for onboarding offline/CRM data from BigQuery as custom audiences or offline conversions in Google Ads, Google Analy
Voice Conversion by CycleGAN (语音克隆/语音转换):CycleGAN-VC3
CycleGAN-VC3-PyTorch 中文说明 | English This code is a PyTorch implementation for paper: CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectr
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
MMdnn MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model manage
sample web application built with FastAPI + uvicorn
SPARKY Sample web application built with FastAPI & Python 3.8 shows simple Flask-like structure with a Bootstrap template index.html also has a backgr
A rate limiter for Starlette and FastAPI
SlowApi A rate limiting library for Starlette and FastAPI adapted from flask-limiter. Note: this is alpha quality code still, the API may change, and
ASGI middleware for authentication, rate limiting, and building CRUD endpoints.
Piccolo API Utilities for easily exposing Piccolo models as REST endpoints in ASGI apps, such as Starlette and FastAPI. Includes a bunch of useful ASG
GNOME powered sound conversion
SoundConverter A simple sound converter application for the GNOME environment. It reads anything the GStreamer library can read, and writes Ogg Vorbis
API Rate Limit Decorator
ratelimit APIs are a very common way to interact with web services. As the need to consume data grows, so does the number of API calls necessary to re
A rate limiter for Starlette and FastAPI
SlowApi A rate limiting library for Starlette and FastAPI adapted from flask-limiter. Note: this is alpha quality code still, the API may change, and
A request rate limiter for fastapi
fastapi-limiter Introduction FastAPI-Limiter is a rate limiting tool for fastapi routes. Requirements redis Install Just install from pypi pip insta
A tool to convert AWS EC2 instances back and forth between On-Demand and Spot billing models.
ec2-spot-converter This tool converts existing AWS EC2 instances back and forth between On-Demand and 'persistent' Spot billing models while preservin
A request rate limiter for fastapi
fastapi-limiter Introduction FastAPI-Limiter is a rate limiting tool for fastapi routes. Requirements redis Install Just install from pypi pip insta
Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"
Text progress bar library for Python. Travis status: Coverage: Install The package can be installed through pip (this is the recommended method): pip
A Fast, Extensible Progress Bar for Python and CLI
tqdm tqdm derives from the Arabic word taqaddum (تقدّم) which can mean "progress," and is an abbreviation for "I love you so much" in Spanish (te quie
A rate limiter for Starlette and FastAPI
SlowApi A rate limiting library for Starlette and FastAPI adapted from flask-limiter. Note: this is alpha quality code still, the API may change, and
Rate Limiting extension for Flask
Flask-Limiter Flask-Limiter provides rate limiting features to flask routes. It has support for a configurable backend for storage with current implem
Sample code from the Neural Networks from Scratch book.
Neural Networks from Scratch (NNFS) book code Code from the NNFS book (https://nnfs.io) separated by chapter.
Foreign exchange rates, Bitcoin price index and currency conversion using ratesapi.io
forex-python Forex Python is a Free Foreign exchange rates and currency conversion. Note: Install latest forex-python==1.1 to avoid RatesNotAvailableE
eyeD3 is a Python module and command line program for processing ID3 tags. Information about mp3 files (i.e bit rate, sample frequency, play time, etc.) is also provided. The formats supported are ID3v1 (1.0/1.1) and ID3v2 (2.3/2.4).
Status About eyeD3 is a Python tool for working with audio files, specifically MP3 files containing ID3 metadata (i.e. song info). It provides a comma