419 Repositories
Python The-value-of-international-students-to-the-United-States-Probability-of-getting-a-non-immigrant-visa 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
My Solutions to 120 commonly asked data science interview questions.
Data_Science_Interview_Questions Introduction 👋 Here are the answers to 120 Data Science Interview Questions The above answer some is modified based
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
E0 AI Bot is based on the message, it prints the answer with the highest probability using probability from the database.
E0 AI Chat Bot Based on the message, it prints the answer with the highest probability using probability from the database. Install on linux (Arch,Deb
🧬 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
Azure free vpn for students only! (Self hosted/No sketchy services/Fast and free)
Azpn-Azure-Free-VPN Azure free vpn for students only! (Self hosted/No sketchy services/Fast and free) This is an alternative secure way of accessing f
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
CaskDB is a disk-based, embedded, persistent, key-value store based on the Riak's bitcask paper, written in Python.
CaskDB - Disk based Log Structured Hash Table Store CaskDB is a disk-based, embedded, persistent, key-value store based on the Riak's bitcask paper, w
Welcome to The Eigensolver Quantum School, a quantum computing crash course designed by students for students.
TEQS Welcome to The Eigensolver Quantum School, a crash course designed by students for students. The aim of this program is to take someone who has n
Fast SHAP value computation for interpreting tree-based models
FastTreeSHAP FastTreeSHAP package is built based on the paper Fast TreeSHAP: Accelerating SHAP Value Computation for Trees published in NeurIPS 2021 X
Learn Data Science with focus on adding value with the most efficient tech stack.
DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter
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
(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est
A cross-platform script to book first available time for getting a passport in Sweden - Ett skript som automatiskt bokar pass hos polisen
Automatic passport booker - Boka pass automatiskt hos Svenska polisen A cross-platform script to book first available time for getting a passport in S
E-Commerce Telegram Bot for UCA Students
ucaStudentStore To buy from and sell to other students Features Register the first time, after that you will always be recognised You can login either
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
API to retrieve the number of grades on the OGE website (Website listing the grades of students) to know if a new grade is available. If a new grade has been entered, the program sends a notification e-mail with the subject.
OGE-ESIREM-API Introduction API to retrieve the number of grades on the OGE website (Website listing the grades of students) to know if a new grade is
graphical orbitational simulation of solar system planets with real values and physics implemented so you get a nice elliptical orbits. you can change timestamp value or scale from source code idc.
solarSystemOrbitalSimulation graphical orbitational simulation of solar system planets with real values and physics implemented so you get a nice elli
K2HASH Python library - NoSQL Key Value Store(KVS) library
k2hash_python Overview k2hash_python is an official python driver for k2hash. Install Firstly you must install the k2hash shared library: curl -o- htt
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
Birthday-problem - The birthday problem asks for the probability that, in a set of n randomly chosen people, at least two will share a birthday
Birthday-problem In probability theory, the birthday problem asks for the probab
Buffon’s needle: one of the oldest problems in geometric probability
Buffon-s-Needle Buffon’s needle is one of the oldest problems in geometric proba
Viperdb - A tiny log-structured key-value database written in pure Python
ViperDB 🐍 ViperDB is a lightweight embedded key-value store written in pure Pyt
Keybase-cli - Keybase docker container that exposes the keybase CLI and some common commands such as getting files or loading github action secrets
keybase-cli Keybase docker container that exposes the keybase CLI and some commo
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
Api for getting bin info and getting encrypted card details for adyen.
Bin Info And Adyen Cse Enc Python api for getting bin info and getting encrypted
NS-LOOKUP - A python script for scanning website for getting ip address of a website
NS-LOOKUP A python script for scanning website for getting ip address of a websi
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
Advanced python code - For students in my advanced python class
advanced_python_code For students in my advanced python class Week Topic Recordi
Projeto de análise de dados com SQL
Project-Analizyng-International-Debt-Statistics- Projeto de análise de dados com SQL - Plataforma Data Camp Descrição do Projeto : Não é que nós human
Getting git-style versioning working on RDFlib
Getting git-style versioning working on RDFlib
PyCache - simple key:value server written with Python
PyCache simple key:value server written with Python and client is here run server python -m pycache.server or from pycache.server import start_server
Import some key/value data to Prometheus custom-built Node Exporter in Python
About the app In one particilar project, i had to import some key/value data to Prometheus. So i have decided to create my custom-built Node Exporter
UUID_ApiGenerator - This an API that will return a key-value pair of randomly generated UUID
This an API that will return a key-value pair of randomly generated UUID. Key will be a timestamp and value will be UUID. While the
Downloads state flags from wikipedia for states/regions from all countries
world-state-flags Downloads state flags from wikipedia for states/regions from all countries This data is NOT curated Uses https://github.com/dr5hn/co
This is the source code of the solver used to compete in the International Timetabling Competition 2019.
ITC2019 Solver This is the source code of the solver used to compete in the International Timetabling Competition 2019. Building .NET Core (2.1 or hig
Source code related to the article submitted to the International Conference on Computational Science ICCS 2022 in London
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection Source code related to the article submitted to the Internati
The Dolby.io Developer Days Getting Started with Media APIs Workshop repo.
Dolby.io Developer Days Media APIs Getting Started Application About this Workshop and Application This example is designed to get participants workin
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 porject is intented to build the most accurate model for predicting the porbability of loan default
Estimating-Loan-Default-Probability IBA ML2 Mid-project / Kaggle Competition This porject is intented to build the most accurate model for predicting
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
Trace all method entries and exits, the exit also prints the return value, if it is of basic type
Trace all method entries and exits, the exit also prints the return value, if it is of basic type. The apk must have set the android:debuggable="true" flag.
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
A fast, efficiency python package for searching and getting search results with many different search engines
search A fast, efficiency python package for searching and getting search results with many different search engines. Installation To install the pack
Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.
Value Retrieval with Arbitrary Queries for Form-like Documents Introduction Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-
This is a library for simulate probability theory problems specialy conditional probability
This is a library for simulate probability theory problems specialy conditional probability. It is also useful to create custom single or joint distribution with specific PMF or PDF to get probability table and genearte data based on probability function.
To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.
To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.
A template that help you getting started with Pycord.
A Pycord Template with some example! Getting Started: Clone this repository using git clone https://github.com/AungS8430/pycord-template.git If you ha
Translators - is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python
Translators - is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python
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
A mini-course offered to Undergrad chemistry students
The best way to use this material is by forking it by click the Fork button at the top, right corner. Then you will get your own copy to play with! Th
A simple API that will return a key-value pair of randomly generated UUID
A simple API that will return a key-value pair of randomly generated UUID. Key will be a timestamp and value will be UUID. While the server is running, whenever the API is called, it should return all the previous UUIDs ever generated by the API alongside a new UUID.
converts nominal survey data into a numerical value based on a dictionary lookup.
SWAP RATE Converts nominal survey data into a numerical values based on a dictionary lookup. It allows the user to switch nominal scale data from text
Custom IMDB Dataset is extracted between 2020-2021 and custom distilBERT model is trained for movie success probability prediction
IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine
MAVE: : A Product Dataset for Multi-source Attribute Value Extraction
The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.
Bayesian A/B testing
bayesian_testing is a small package for a quick evaluation of A/B (or A/B/C/...) tests using Bayesian approach.
Classification Modeling: Probability of Default
Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information
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 visualization of how much Manchester United fans enjoyed each game from the first half of the 21/22 Premier League season.
Man-Utd-Fan-Satisfaction-Levels-First-19-games A visualization of how much Manchester United fans enjoyed each game from the first half of the 21/22 P
Classification Modeling: Probability of Default
Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information
A High-Level Fusion Scheme for Circular Quantities published at the 20th International Conference on Advanced Robotics
Monte Carlo Simulation to the Paper A High-Level Fusion Scheme for Circular Quantities published at the 20th International Conference on Advanced Robotics
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
Reference implementation for Structured Prediction with Deep Value Networks
Deep Value Network (DVN) This code is a python reference implementation of DVNs introduced in Deep Value Networks Learn to Evaluate and Iteratively Re
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
Minimal example of getting Django + PyTest running on GitHub Actions
Minimal Django + Pytest + GitHub Actions example This minimal example shows you how you can runs pytest on your Django app on every commit using GitHu
This project is related to a No-SQL database, whose data are referred to autoctone botanic species
This project is related to a No-SQL database, whose data are referred to autoctone botanic species. The final goal is creating a function that performs the estimation of the ornamental value, given the specific characteristics of a single species.
Tech Resources for Academic Communities
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
LSF-SAC Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy G
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
Repository specifically for tcss503-22-wi Students
TCSS503: Algorithms and Problem Solving for Software Developers Course Description Introduces advanced data structures and key algorithmic techniques
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students.
A timetable optimiser for NUS which uses an evolutionary algorithm to "breed" a timetable suited to your needs.
A curated list for getting up to speed on crypto and decentralized networks
crypto reading list A curated list for getting up to speed on crypto and decentralized networks. The content on the toplevel page contains what we con
Python package for Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.
The Python package for near duplicate video detection ⭐️ Introduction Videohash is a Python package for detecting near-duplicate videos (Perceptual Vi
A Simple Key-Value Data-store written in Python
mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat
Methods to get the probability of a changepoint in a time series.
Bayesian Changepoint Detection Methods to get the probability of a changepoint in a time series. Both online and offline methods are available. Read t
Where-Got-Time - An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students
Where Got Time(table)? A timetable optimsier which uses an evolutionary algorith
Analyzed the data of VISA applicants to build a predictive model to facilitate the process of VISA approvals.
Analyzed the data of Visa applicants, built a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommended a suitable profile for the applicants for whom the visa should be certified or denied.
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
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Data Science 45-min Intros Every week*, our data science team @Gnip (aka @TwitterBoulder) gets together for about 50 minutes to learn something. While
Bitcoin-chance-wheel - Try your luck at getting bitcoins
Program Features - ✍️ Why did we name this tool the Lucky Wheel? - ✍️ This tool
Various converters to convert value sets from CSV to JSON, etc.
ValueSet Converters Tools for converting value sets in different formats. Such as converting extensional value sets in CSV format to JSON format able
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
This code is 3d-CNN model that can predict environmental value
Predict-environmental-value-3dCNN This code is 3d-CNN model that can predict environmental value. Firstly, I built a model that can create a lot of bu