219 Repositories
Python non-maximum-suppression Libraries
The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
OC-SORT Observation-Centric SORT (OC-SORT) is a pure motion-model-based multi-object tracker. It aims to improve tracking robustness in crowded scenes
🐤 Nix-TTS: An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation
🐤 Nix-TTS An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji
Comprehensive-E2E-TTS - PyTorch Implementation
A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS
🧬 Non-linear feature reduction using Deep Autoencoders and Breast Cancer classification.
Project summary This repository contains the implementation of my bachelor degree project. The aim of the project is to apply non-linear feature reduc
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
30-Days-of-ML-Kaggle 🔥 About the Hands On Program 💻 Machine learning beginner → Kaggle competitor in 30 days. Non-coders welcome The program starts
Official pytorch implementation for Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion (CVPR 2022)
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion This repository contains a pytorch implementation of "Learning to Listen: Modeling
Maximum Spatial Perturbation for Image-to-Image Translation (Official Implementation)
MSPC for I2I This repository is by Yanwu Xu and contains the PyTorch source code to reproduce the experiments in our CVPR2022 paper Maximum Spatial Pe
A variational Bayesian method for similarity learning in non-rigid image registration (CVPR 2022)
A variational Bayesian method for similarity learning in non-rigid image registration We provide the source code and the trained models used in the re
OpenSea Bulk Uploader And Trader 100000 NFTs (MAC WINDOWS ANDROID LINUX) Automatically and massively upload and sell your non-fungible tokens on OpenSea using Python Selenium
OpenSea Bulk Uploader And Trader 100000 NFTs (MAC WINDOWS ANDROID LINUX) Automatically and massively upload and sell your non-fungible tokens on OpenS
source code for 'Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge' by A. Shah, K. Shanmugam, K. Ahuja
Source code for "Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge" Reference: Abhin Shah, Karthikeyan Shanmugam, Kartik Ahu
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
DiffGAN-TTS - PyTorch Implementation PyTorch implementation of DiffGAN-TTS: High
Adversarial-Information-Bottleneck - Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck (NeurIPS21)
NeurIPS 2021 Title: Distilling Robust and Non-Robust Features in Adversarial Exa
PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework
A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)
Python implementation of NARS (Non-Axiomatic-Reasoning-System)
Python implementation of NARS (Non-Axiomatic-Reasoning-System)
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
This package requires jax, tensorflow, and numpy. Either tensorflow or scikit-learn can be used for loading data. To run in a nix-shell with required
The mini-AlphaStar (mini-AS, or mAS) - mini-scale version (non-official) of the AlphaStar (AS)
A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.
Source code for the paper "Periodic Traveling Waves in an Integro-Difference Equation With Non-Monotonic Growth and Strong Allee Effect"
Source code for the paper "Periodic Traveling Waves in an Integro-Difference Equation With Non-Monotonic Growth and Strong Allee Effect" by Michael Ne
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-local Spatial-Temporal Similarity
This repository is the official PyTorch implementation of Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-local Spatial-Temporal Similarity
A simple non-official manager interface I'm using for my Raspberry Pis.
My Raspberry Pi Manager Overview I have two Raspberry Pi 4 Model B devices that I hooked up to my two TVs (one in my bedroom and the other in my new g
A script to find the people whom you follow, but they don't follow you back
insta-non-followers A script to find the people whom you follow, but they don't follow you back Dependencies: python3 libraries - instaloader, getpass
OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive models
OptiPLANT OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive mod
EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks
EncT5 (Unofficial) Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks About Finetune T5 model for classification & r
This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks
This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks
ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch
ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers This is the repo used for human motion prediction with non-autoregress
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet for Object Detection By Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu. This repo is a official implementation of "GCNet: Non-local Networ
A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding
Business Problem A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maxim
Predicts an answer in yes or no.
Oui-ou-non-prediction Predicts an answer in 'yes' or 'no'. It is based on the game 'effeuiller la marguerite' in which the person plucks flower petals
Non-stationary GP package written from scratch in PyTorch
NSGP-Torch Examples gpytorch model with skgpytorch # Import packages import torch from regdata import NonStat2D from gpytorch.kernels import RBFKernel
Calibre Libgen Non-fiction / Sci-tech store plugin
CalibreLibgenSci A Libgen Non-Fiction/Sci-tech store plugin for Calibre Installation Download the latest zip file release from here Open Calibre Navig
Course on computational design, non-linear optimization, and dynamics of soft systems at UIUC.
Computational Design and Dynamics of Soft Systems · This is a repository that contains the source code for generating the lecture notes, handouts, exe
K Closest Points and Maximum Clique Pruning for Efficient and Effective 3D Laser Scan Matching (To appear in RA-L 2022)
KCP The official implementation of KCP: k Closest Points and Maximum Clique Pruning for Efficient and Effective 3D Laser Scan Matching, accepted for p
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
The dynamics of representation learning in shallow, non-linear autoencoders
The dynamics of representation learning in shallow, non-linear autoencoders The package is written in python and uses the pytorch implementation to ML
Towards Boosting the Accuracy of Non-Latin Scene Text Recognition
Convolutional Recurrent Neural Network + CTCLoss | STAR-Net Code for paper "Towards Boosting the Accuracy of Non-Latin Scene Text Recognition" Depende
Survival analysis in Python
What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical commu
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning Website • About • Installation • Using OpenDR
ConferencingSpeech2022; Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge
ConferencingSpeech 2022 challenge This repository contains the datasets list and scripts required for the ConferencingSpeech 2022 challenge. For more
Hashcrack - A non-object oriented open source, Software for Windows/Linux made in Python 3
Multi Force This project is a non-object oriented open source, Software for Wind
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Mish: Self Regularized Non-Monotonic Activation Function BMVC 2020 (Official Paper) Notes: (Click to expand) A considerably faster version based on CU
0-1 knapsack with an additional constraint of maximum number of items used
extended_knapsack 0-1 knapsack with an additional constraint of maximum number of items used. Usage pip3 install extended_knapsack from extended_knaps
LinuxHelper - A collection of utilities for non-technical Linux users accessible via a GUI
Linux Helper A collection of utilities for non-technical Linux users accessible via a GUI This app is still in very early development, expect bugs and
[ECCV 2020] XingGAN for Person Image Generation
Contents XingGAN or CrossingGAN Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Evaluation Acknowl
LaBERT - A length-controllable and non-autoregressive image captioning model.
Length-Controllable Image Captioning (ECCV2020) This repo provides the implemetation of the paper Length-Controllable Image Captioning. Install conda
Realtime YOLO Monster Detection With Non Maximum Supression
Realtime-YOLO-Monster-Detection-With-Non-Maximum-Supression Table of Contents In
Non-Attentive-Tacotron - This is Pytorch Implementation of Google's Non-attentive Tacotron.
Non-attentive Tacotron - PyTorch Implementation This is Pytorch Implementation of Google's Non-attentive Tacotron, text-to-speech system. There is som
Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.
Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.
[CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
DeepDeform (CVPR'2020) DeepDeform is an RGB-D video dataset containing over 390,000 RGB-D frames in 400 videos, with 5,533 optical and scene flow imag
Non-Autoregressive Predictive Coding
Non-Autoregressive Predictive Coding This repository contains the implementation of Non-Autoregressive Predictive Coding (NPC) as described in the pre
Bitnami Docker Image for Python using snapshots for the system packages repositories
Python Snapshot packaged by Bitnami What is Python Snapshot? Python is a programming language that lets you work quickly and integrate systems more ef
Using Bayesian, KNN, Logistic Regression to classify spam and non-spam.
Make Sure the dataset file "spamData.mat" is in the folder spam\src Environment: Python --version = 3.7 Third Party: numpy, matplotlib, math, scipy
A Non profit app built on top of Frappe framework & ERPNext
Non Profit A Non profit app built on top of Frappe framework & ERPNext. People who change the world need the tools to do it! The Non Profit Modules of
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd
An open source, non-profit search engine implemented in python
Mwmbl: No ads, no tracking, no cruft, no profit Mwmbl is a non-profit, ad-free, free-libre and free-lunch search engine with a focus on useability and
Create crawler get some new products with maximum discount in banimode website
crawler-banimode create crawler and get some new products with maximum discount in banimode website. این پروژه کوچک جهت یادگیری و کار با ابزار سلنیوم
Pythonic Crawling / Scraping Framework based on Non Blocking I/O operations.
Pythonic Crawling / Scraping Framework Built on Eventlet Features High Speed WebCrawler built on Eventlet. Supports relational databases engines like
Object-data mapper and advanced query manager for non relational databases
Object data mapper and advanced query manager for non relational databases. The data is owned by different, configurable back-end databases and it is
Readable, simple and fast asynchronous non-blocking network apps
Fast and readable async non-blocking network apps Netius is a Python network library that can be used for the rapid creation of asynchronous non-block
Unzip Japanese Shift-JIS zip archives on non-Japanese systems.
Unzip JP GUI Unzip Japanese Shift-JIS zip archives on non-Japanese systems. This script unzips the file while converting the file names from Shift-JIS
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path
Keyhole Imaging Code & Dataset Code associated with the paper "Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Singl
Python KNN model: Predicting a probability of getting a work visa. Tableau: Non-immigrant visas over the years.
The value of international students to the United States. Probability of getting a non-immigrant visa. Project timeline: Jan 2021 - April 2021 Project
Setup DevTerm to be a cool non-GUI device
DevTerm hobby project I bought this amazing device: DevTerm A-0604. It has a beefy ARM processor, runs a custom version of Armbian, embraces Open Sour
Non official, but friendly QvaPay library for the Python language.
Python SDK for the QvaPay API Non official, but friendly QvaPay library for the Python language. Setup You can install this package by using the pip t
A novel framework to automatically learn high-quality scanning of non-planar, complex anisotropic appearance.
appearance-scanner About This repository is an implementation of the neural network proposed in Free-form Scanning of Non-planar Appearance with Neura
C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion By: David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedal
PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020).
NHDRRNet-PyTorch This is the PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020). 0. Differences between Original Paper and
Maximum Covariance Analysis in Python
xMCA | Maximum Covariance Analysis in Python The aim of this package is to provide a flexible tool for the climate science community to perform Maximu
Funnels: Exact maximum likelihood with dimensionality reduction.
Funnels This repository contains the code needed to reproduce the experiments from the paper: Funnels: Exact maximum likelihood with dimensionality re
Erpnext app for make employee salary on payroll entry based on one or more project with percentage for all project equal 100 %
Project Payroll this app for make payroll for employee based on projects like project on 30 % and project 2 70 % as account dimension it makes genral
Snakemake workflow for converting FASTQ files to self-contained CRAM files with maximum lossless compression.
Snakemake workflow: name A Snakemake workflow for description Usage The usage of this workflow is described in the Snakemake Workflow Catalog. If
Pytorch implementation NORESQA A Framework for Speech Quality Assessment using Non-Matching References.
NORESQA: Speech Quality Assessment using Non-Matching References This is a Pytorch implementation for using NORESQA. It contains minimal code to predi
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
Unsupervised JPEG Domain Adaptation for Practical Digital Image Forensics @WIFS2021 (Montpellier, France) Rony Abecidan, Vincent Itier, Jeremie Boulan
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Maximum Likelihood Training of Score-Based Diffusion Models This repo contains the official implementation for the paper Maximum Likelihood Training o
Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021.
NL-CSNet-Pytorch Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021. Note: this repo only shows the strategy of
Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021.
NL-CSNet-Pytorch Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021. Note: this repo only shows the strategy of
This github repo is for Neurips 2021 paper, NORESQA A Framework for Speech Quality Assessment using Non-Matching References.
NORESQA: Speech Quality Assessment using Non-Matching References This is a Pytorch implementation for using NORESQA. It contains minimal code to predi
A python bot that will allow you to have maximum luck during Veve drops.
VeveBot You can follow me here Github | Twitter Features: - Click on the purchase at the time of the drop. - Be able to choose to do more than one tes
PyTorch implementation of ''Background Activation Suppression for Weakly Supervised Object Localization''.
Background Activation Suppression for Weakly Supervised Object Localization PyTorch implementation of ''Background Activation Suppression for Weakly S
Learning to Rewrite for Non-Autoregressive Neural Machine Translation
RewriteNAT This repo provides the code for reproducing our proposed RewriteNAT in EMNLP 2021 paper entitled "Learning to Rewrite for Non-Autoregressiv
NEO: Non Equilibrium Sampling on the orbit of a deterministic transform
NEO: Non Equilibrium Sampling on the orbit of a deterministic transform Description of the code This repo describes the NEO estimator described in the
PyTorch implementation of ''Background Activation Suppression for Weakly Supervised Object Localization''.
Background Activation Suppression for Weakly Supervised Object Localization PyTorch implementation of ''Background Activation Suppression for Weakly S
A Pytorch implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
SMU_pytorch A Pytorch Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE arXiv https://arxiv.org/ab
A Python-based non-fungible token (NFT) generator built using Samilla and Matplotlib
PyNFT A Pythonic NF (non-fungible token) generator built using Samilla and Matplotlib Use python pynft.py [amount] The intention behind this generato
JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library
JAX bindings to FINUFFT This package provides a JAX interface to (a subset of) the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) lib
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
Repository for paper "Non-intrusive speech intelligibility prediction from discrete latent representations"
Non-Intrusive Speech Intelligibility Prediction from Discrete Latent Representations Official repository for paper "Non-Intrusive Speech Intelligibili
Epidemiology analysis package
zEpid zEpid is an epidemiology analysis package, providing easy to use tools for epidemiologists coding in Python 3.5+. The purpose of this library is
Official implementation for CVPR 2021 paper: Adaptive Class Suppression Loss for Long-Tail Object Detection
Adaptive Class Suppression Loss for Long-Tail Object Detection This repo is the official implementation for CVPR 2021 paper: Adaptive Class Suppressio
iAWE is a wonderful dataset for those of us who work on Non-Intrusive Load Monitoring (NILM) algorithms.
iAWE is a wonderful dataset for those of us who work on Non-Intrusive Load Monitoring (NILM) algorithms. You can find its main page and description via this link. If you are familiar with NILM-TK API, you probably know that you can work with iAWE hdf5 data file in NILM-TK.
The code from the paper Character Transformations for Non-Autoregressive GEC Tagging
Character Transformations for Non-Autoregressive GEC Tagging Milan Straka, Jakub Náplava, Jana Straková Charles University Faculty of Mathematics and
Learning kernels to maximize the power of MMD tests
Code for the paper "Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy" (arXiv:1611.04488; published at ICLR 2017), by Douga
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Non-Metric Space Library (NMSLIB) Important Notes NMSLIB is generic but fast, see the results of ANN benchmarks. A standalone implementation of our fa
Official implementation of Protected Attribute Suppression System, ICCV 2021
Official implementation of Protected Attribute Suppression System, ICCV 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection Repository
Online-compatible Unsupervised Non-resonant Anomaly Detection Repository Repository containing all scripts used in the studies of Online-compatible Un
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions Kapoutsis, A.C., Chatzichristofis,
HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)
Methods HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method) Dynamically selecting the best propagation method for each node
Next-gen Rowhammer fuzzer that uses non-uniform, frequency-based patterns.
Blacksmith Rowhammer Fuzzer This repository provides the code accompanying the paper Blacksmith: Scalable Rowhammering in the Frequency Domain that is
PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
Federated Learning with Non-IID Data This is an implementation of the following paper: Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vik