Python Good-turing-smoothing Resources

Neural Instrument Cloning In this project we combine techniques from neural voice cloning and musical instrument synthesis to achieve good results fro

ETSformer - Pytorch Implementation of ETSformer, state of the art time-series Transformer, in Pytorch Install $ pip install etsformer-pytorch Usage im

🎃 HacktoberFest-2021 🎃 Repository for Hacktoberfest Note: Although, We are actively focusing on Machine Learning, Data Science and Tricky Python pro

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions Codebase for the "Adversarial Motion Priors Make Good Substitutes for Com

Ascii Artist An ascii art generator that's actually good. Does edge detection and selects the most appropriate characters. Installing Installing with

Conway's Game of Life The zero player Darwinism simulation game as described by Conway (demonstrates Turing Completeness). I created this script after

A tool to find good RCE From my series: A powerful Burp extension to make bounties rain

Decoupled Smoothing in Probabilistic Soft Logic Experiments for "Decoupled Smoothing in Probabilistic Soft Logic". Probabilistic Soft Logic Probabilis

A good Tool to comment on xmw

Expense Tracker is a very good tool to keep track of your expenseditures and the total money you saved.

Image-Smoothing-and-Blurring-Using-OpenCV This repository contains codes for performing image smoothing and blurring using OpenCV. There are different

Having a weak password is not good for a system that demands high confidentiality and security of user credentials. It turns out that people find it difficult to make up a strong password that is strong enough to prevent unauthorized users from memorizing it.

SSWS-loss_function_based_on_MS-TCN Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation Supervised Sliding Window

Eureka is a Rest-API framework scraper based on FastAPI for cleaning and organizing data, designed for the Eureka by Turing project of the National University of Colombia

This repository contains the scripts needed to generate the results from the paper Unity Propagation in Bayesian Networks Handling Inconsistency via U

Good Classification Measures and How to Find Them This repository contains supplementary materials for the paper "Good Classification Measures and How

MemeBot A discord Meme "Karma" Tracking bot Dependancies Make sure you have pymongo installed and a mongodb cluster setup with two collections. pip in

Wordle Solver I got bored and wrote a wordle solver... Its pretty good though, just saying. Please go support Josh and have fun with Wordle on the off

Handheld Multi-Frame Neural Depth Refinement This is the official code repository for the work: The Implicit Values of A Good Hand Shake: Handheld Mul

JO-KEN-PÔ!!! | Description | basic. I make this game only to train. This is a good project to train your logic game with python language. This game is

AnnotateChange Welcome to the repository of the "AnnotateChange" application. This application was created to collect annotations of time series data

scikit-hts Hierarchical Time Series with a familiar API. This is the result from not having found any good implementations of HTS on-line, and my work

tsmoothie A python library for time-series smoothing and outlier detection in a vectorized way. Overview tsmoothie computes, in a fast and efficient w

Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po

FarolCovid 🚦 Ferramenta de monitoramento do risco de colapso no sistema de saúde em municípios brasileiros com a Covid-19. Monitoring tool & simulati

N-gram models- Unsmoothed, Laplace, Deleted Interpolation

Welcome to the Hitchhiker's Guide to Data Science for Social Good. What is the Data Science for Social Good Fellowship? The Data Science for Social Go

dont contribute in this repo, contribute only in below mentioned repo Special Note For Everyone ''' always make more then 4 pull request lets you have

opevcvdl-hw1 This project uses openCV and Qt to achieve the requirements. Version Python 3.7 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.1

Good Semi-Supervised Learning that Requires a Bad GAN This is the code we used in our paper Good Semi-supervised Learning that Requires a Bad GAN Ziha

Proper CLI Proper CLI is a Python package for creating beautiful, composable, and ridiculously good looking command-line-user-interfaces without havin

CoG-BART Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Quick Start: To run the model on test sets of four datasets, Download th

Fast and Curious A game to learn/improve keyboard typing skills. The main idea is to improve your typing skills and at the same time learn fun facts (

Hotpile: High Order Turing Machine Language Compiler Build and Run Requirements: Python 3.6+, bison, flex, and GCC installed. Needs to be run under UN

Curriculum by Smoothing (NeurIPS 2020) The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight). For any questions reg

Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ

🌞 gm Good Morning! Usage Simply copy the channel_list to gm.py and fill authorization_list with authorization token(s). Enjoy. Authorization Please r

KelloggBot Credit to SeanDaBlack for the basis of the script. req.py is selenium python bot. sc.js is a the base of the ios shortcut [COMING SOON] Set

The-Good-Old-Days. The Good Old Days. | Testing Out A New Module- Installation Asciimatics supports Python versions 2 & 3. For the precise list of tes

Neural Turing Machine in Tensorflow Tensorflow implementation of Neural Turing Machine. This implementation uses an LSTM controller. NTM models with m

omigood (OM I GOOD?) This repository contains a free scanner to detect VMs vulnerable to one of the "OMIGOD" vulnerabilities discovered by Wiz's threa

Introduction This repository contains research code for the ACL 2021 paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual

Automata Copyright 2016-2021 Caleb Evans Released under the MIT license Automata is a Python 3 library which implements the structures and algorithms

Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning" This is the code for the paper Solving Graph-based Public Goo

SMU_pytorch A Pytorch Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE arXiv https://arxiv.org/ab

CodeJ A python project made to generate code using either OpenAI's codex or GPT-J (Although not as good as codex) Install requirements pip install -r

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness (NeurIPS2021) This repository contains code for the paper "Smo

Human Learn Machine Learning models should play by the rules, literally. Project Goal Back in the old days, it was common to write rule-based systems.

pystego Hide secret data within a digital image using good ol' terminal Installation The recommended way for installing this package is using, python

SMU A Tensorflow Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE arXiv https://arxiv.org/abs/211

random-num-using-time A program to generate random numbers b/w 0 to 10 using time it uses python's in-built module datetime and an equation which retu

Pyceo Pyceo is a Python package for creating beautiful, composable, and ridiculously good looking command-line-user-interfaces without having to write

Node Dependent Local Smoothing for Scalable Graph Learning Requirements Environments: Xeon Gold 5120 (CPU), 384GB(RAM), TITAN RTX (GPU), Ubuntu 16.04

Fest-Practice-2021 This project is excluded from Hacktoberfest 2021. Please use this as a testing repo/project. A platform for developers 👩‍💻 who wa

ECM to find a good way for img_dir Path in Gooey This code is just an ECM to find a good way to indicate a path of image in image_dir variable. We loo

Graph-based Embedding Smoothing (GES) This is our Tensorflow implementation for the paper: Tianyu Zhu, Leilei Sun, and Guoqing Chen. "Graph-based Embe

Board-Games What to do... Add Board games like Tic Tac Toe, Connect 4, Ludo, Snakes and Ladder etc... How to do... Fork the repo Clone the repo git cl

Creating Robust Representations from Pre-Trained Image Encoders using Contrastive Learning Sriram Ravula, Georgios Smyrnis This is the code for our pr

A GOOD REPRESENTATION DETECTS NOISY LABELS This code is a PyTorch implementation of the paper: Prerequisites Python 3.6.9 PyTorch 1.7.1 Torchvision 0.

InterpretationData This repository is for our EMNLP 2021 paper: It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpr

Instance-based Label Smoothing for Neural Networks Pytorch Implementation of the algorithm. This repository includes a new proposed method for instanc

Open-Set Recognition: A Good Closed-Set Classifier is All You Need Code for our paper: "Open-Set Recognition: A Good Closed-Set Classifier is All You

Project Glow Greetings, I see you have stumbled upon project glow. Project glow is an open source bot worked on by many people to create a good and sa

Hacktoberfest-2021 A platform for developers 👩‍💻 who wants to share their projects and programs. Hacktoberfest has updated their rules and now this

discord-tokens-generator INFO This is a Simple Discord Token Generator which creates unverified discord accounts These accounts are good for member bo

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom Sample on-line plotting while training(avg loss)/testing(writ

PyTorch Neural Turing Machine (NTM) PyTorch implementation of Neural Turing Machines (NTM). An NTM is a memory augumented neural network (attached to

django-watson django-watson is a fast multi-model full-text search plugin for Django. It is easy to install and use, and provides high quality search

TriageSQL The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text

FunMatch-Distillation TF2 implementation of knowledge distillation using the "function matching" hypothesis from the paper Knowledge distillation: A g

Online Label Smoothing Pytorch implementation of Online Label Smoothing (OLS) presented in Delving Deep into Label Smoothing. Introduction As the abst

vizh An esoteric visual language that takes image files as input based on a multi-tape turing machine, designed for compatibility with C. Overview Her

Tkinter Designer is created to speed up and beautify Python GUI Experience. It uses well know design software called Figma. Which makes creating Tkinter GUI in Python a piece of cake.

Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets This is the official implementation of "Towards Good Pract

Denoised-Smoothing-TF Minimal implementation of Denoised Smoothing: A Provable Defense for Pretrained Classifiers in TensorFlow. Denoised Smoothing is

LVI-SAM This repository contains code for a lidar-visual-inertial odometry and mapping system, which combines the advantages of LIO-SAM and Vins-Mono

Disclaimer This project is stable and being incubated for long-term support. It may contain new experimental code, for which APIs are subject to chang

AdaBound An optimizer that trains as fast as Adam and as good as SGD, for developing state-of-the-art deep learning models on a wide variety of popula

django-watson django-watson is a fast multi-model full-text search plugin for Django. It is easy to install and use, and provides high quality search

numpy-ml Ever wish you had an inefficient but somewhat legible collection of machine learning algorithms implemented exclusively in NumPy? No? Install