393 Repositories
Python conditional-random-fields Libraries
Draw random mazes in python
a-maze Draw random mazes in python This program generates and draws a rectangular maze, with an entrance on one side and one on the opposite side. The
Get random jokes bapack2 on telegram
Jokes Bapack2 Telegram Bot Get random jokes bapack2 from jokes-bapack2-api on telegram bot Screenshot Requirements python pip pipenv python-telegram-b
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
openpifpaf Continuously tested on Linux, MacOS and Windows: New 2021 paper: OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Te
Full-featured Decision Trees and Random Forests learner.
CID3 This is a full-featured Decision Trees and Random Forests learner. It can save trees or forests to disk for later use. It is possible to query tr
Recurrent Conditional Query Learning
Recurrent Conditional Query Learning (RCQL) This repository contains the Pytorch implementation of One Model Packs Thousands of Items with Recurrent C
This Project is based on NLTK It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its antonyms, its synonyms
This Project is based on NLTK(Natural Language Toolkit) It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its antonyms, its synonyms
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets Datasets Used: Iris dataset,
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
ROCKET + MINIROCKET ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge D
onelearn: Online learning in Python
onelearn: Online learning in Python Documentation | Reproduce experiments | onelearn stands for ONE-shot LEARNning. It is a small python package for o
Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)
sklearn-compatible Random Bits Forest Scikit-learn compatible wrapper of the Random Bits Forest program written by Wang et al., 2016, available as a b
Get random jokes bapack2 from jokes-bapack2-api
Random Jokes Bapack2 Get random jokes bapack2 from jokes-bapack2-api Requirements Python Requests HTTP library How to Run py random-jokes-bapack2.py T
A simple and easy to use collection of random python functions.
A simple and easy to use collection of random python functions.
A collection of random and hastily hacked together scripts for investigating EU-DCC
A collection of random and hastily hacked together scripts for investigating EU-DCC
An okayish python script to generate a random Euler circuit with given number of vertices and edges.
Euler-Circuit-Test-Case-Generator An okayish python script to generate a random Euler circuit with given number of vertices and edges. Executing the S
A python lib for generate random string and digits and special characters or A combination of them
A python lib for generate random string and digits and special characters or A combination of them
[NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
Learning Signal-Agnostic Manifolds of Neural Fields This is the uncleaned code for the paper Learning Signal-Agnostic Manifolds of Neural Fields. The
A Random Password Generator made from Python
Things you need Python Step 1 Download the python file from Releases Step 2 Go to the directory where the python file is and run it Step 3 Type the le
A random cats photos python module
A random cats photos python module
A random cat fact python module
A random cat fact python module
Code for the paper "There is no Double-Descent in Random Forests"
Code for the paper "There is no Double-Descent in Random Forests" This repository contains the code to run the experiments for our paper called "There
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
Geometry Processing with Neural Fields Pytorch implementation for the NeurIPS 2021 paper: Geometry Processing with Neural Fields Guandao Yang, Serge B
Instance-conditional Knowledge Distillation for Object Detection
Instance-conditional Knowledge Distillation for Object Detection This is a MegEngine implementation of the paper "Instance-conditional Knowledge Disti
Rates how pog a word or user is. Not random and does have *some* kind of algorithm to it.
PogRater :D Rates how pogchamp a word is :D A fun project coded by JBYT27 using Python3 Have you ever wondered how pog a word is? Well, congrats, you
YARSAW is an Async Python API Wrapper for the Random Stuff API.
Yet Another Random Stuff API Wrapper - YARSAW YARSAW is an Async Python API Wrapper for the Random Stuff API. This module makes it simpler for you to
Code for the Paper: Conditional Variational Capsule Network for Open Set Recognition
Conditional Variational Capsule Network for Open Set Recognition This repository hosts the official code related to "Conditional Variational Capsule N
Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies
To make the comparison with Animatable NeRF easier on the Human3.6M dataset, we save the quantitative results at here, which also contains the results of other methods, including Neural Body, D-NeRF, Multi-view Neural Human Rendering, and Deferred Neural Human Rendering.
Script for the creation of metadatas and the randomization of images of MekaVerse
MekaVerse-random Script for the creation of metadata and the randomization of images of MekaVerse Step to replay the random : Create a folder : output
Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash through feeding it pictures or videos.
Trash-Sorter-Extraordinaire Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash
Repository for the paper "From global to local MDI variable importances for random forests and when they are Shapley values"
From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera ([email protected]) Gilles Lou
A simplistic scraper made to download tons of random screenshots made by people.
printStealer 1.1 What is this tool? This tool is developed to show the insecurity of the screenshot utility called prnt sc. It is a site that stores s
Machine Learning approach for quantifying detector distortion fields
DistortionML Machine Learning approach for quantifying detector distortion fields. This project is a feasibility study for training a surrogate model
In this tutorial, raster models of soil depth and soil water holding capacity for the United States will be sampled at random geographic coordinates within the state of Colorado.
Raster_Sampling_Demo (Resulting graph of this demo) Background Sampling values of a raster at specific geographic coordinates can be done with a numbe
The codebase for our paper "Generative Occupancy Fields for 3D Surface-Aware Image Synthesis" (NeurIPS 2021)
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis (NeurIPS 2021) Project Page | Paper Xudong Xu, Xingang Pan, Dahua Lin and Bo Dai GOF
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
Energy-based Conditional Generative Adversarial Network (ECGAN) This is the code for the NeurIPS 2021 paper "A Unified View of cGANs with and without
Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.
Git repositoty of the manuscript entitled Statistical quantification of confounding bias in predictive modelling by Tamas Spisak The manuscript descri
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.
META-RS This is the companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsu
Backman is a random/fixed background image setter for wlroots based compositors
backman Backman is a random/fixed background image setter for wlroots based compositors Dependencies: The program depends on swaybg, python3-toml (or
This project is based on our SIGGRAPH 2021 paper, ROSEFusion: Random Optimization for Online DenSE Reconstruction under Fast Camera Motion .
ROSEFusion 🌹 This project is based on our SIGGRAPH 2021 paper, ROSEFusion: Random Optimization for Online DenSE Reconstruction under Fast Camera Moti
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
A program to generate random numbers b/w 0 to 10 using time
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
Simple calculator with random number button and dark gray theme created with PyQt6
Calculator Application Simple calculator with random number button and dark gray theme created with : PyQt6 Python 3.9.7 you can download the dark gra
[ICCV'21] Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
CKDN The official implementation of the ICCV2021 paper "Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment" O
Select random winners for a Twitter giveaway
twitter_picker Select random winners for a Twitter giveaway Once the Twitter giveaway (or airdrop) is closed, assign a number to each participant. The
Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance Justin Lim, Christina X Ji, Michael Oberst, Saul Blecker, Leor
Telegram bot that let's you flip a coin in a dialog
coin_flip Telegram bot that let's you flip a coin in a dialog Report issue · Request feature About Software development tool that lets you finally dec
Go through a random file in your favourite open source projects!
Random Source Codes Never be bored again! Staring at your screen and just scrolling the great world wide web? Would you rather read through some code
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
AugMax: Adversarial Composition of Random Augmentations for Robust Training
[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data
kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to
Unofficial implement with paper SpeakerGAN: Speaker identification with conditional generative adversarial network
Introduction This repository is about paper SpeakerGAN , and is unofficially implemented by Mingming Huang ([email protected]), Tiezheng Wang (wtz920729
Source code for the NeurIPS 2021 paper "On the Second-order Convergence Properties of Random Search Methods"
Second-order Convergence Properties of Random Search Methods This repository the paper "On the Second-order Convergence Properties of Random Search Me
[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, an
Simple python script for automated network scans with random name generator(useful for CTF boxes).
📄 Automated NMAP script Description Simple python script for automated network scans with random name generator(useful for CTF boxes). Requirements 1
A Broader Picture of Random-walk Based Graph Embedding
Random-walk Embedding Framework This repository is a reference implementation of the random-walk embedding framework as described in the paper: A Broa
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Cross-Speaker-Emotion-Transfer - PyTorch Implementation PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Conditio
Official code for MPG2: Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN
This is the official code for Multi-attribute Pizza Generator (MPG2): Cross-domain Attribute Control with Conditional StyleGAN. Paper Demo Setup Envir
Code implementation for the paper 'Conditional Gaussian PAC-Bayes'.
CondGauss This repository contains PyTorch code for the paper Stochastic Gaussian PAC-Bayes. A novel PAC-Bayesian training method is implemented. Ther
A totally unrealistic cell growth/reproduction simulation.
A totally unrealistic cell growth/reproduction simulation.
Generate Random ETH addresses and Private Keys and Saved to file.
ethgen.py Generate Random ETH addresses and Private Keys and Saved to file. ETH address the file is stored in ETH-address.txt. ETH private keys the fi
Random tarot card generator + rudimentary Django CMS
TAROT JUICER This is a rudimentary Django-based CMS which dynamically presents tarot-related content placed onto unconventional but familiar contexts
Robotic hamster to give you financial advice
hampp Robotic hamster to give you financial advice. I am not liable for any advice that the hamster gives. Follow at your own peril. Description Hampp
A bunch of random PyTorch models using PyTorch's C++ frontend
PyTorch Deep Learning Models using the C++ frontend Gettting started Clone the repo 1. https://github.com/mrdvince/pytorchcpp 2. cd fashionmnist or
Yet another random discord bot.
YARDB (r!) Yet another fully functional and random discord bot. I might add more features if I'm bored also don't criticize on my code. Commands: 4 Di
Official implementation of the paper Chunked Autoregressive GAN for Conditional Waveform Synthesis
Chunked Autoregressive GAN (CARGAN) Official implementation of the paper Chunked Autoregressive GAN for Conditional Waveform Synthesis [paper] [compan
PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
D2C: Diffuison-Decoding Models for Few-shot Conditional Generation Project | Paper PyTorch implementation of D2C: Diffuison-Decoding Models for Few-sh
Direct design of biquad filter cascades with deep learning by sampling random polynomials.
IIRNet Direct design of biquad filter cascades with deep learning by sampling random polynomials. Usage git clone https://github.com/csteinmetz1/IIRNe
Random Forests for Regression with Missing Entries
Random Forests for Regression with Missing Entries These are specific codes used in the article: On the Consistency of a Random Forest Algorithm in th
This is the repo for the paper "Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement".
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement This is the repository for the paper "Improving the Accuracy-Memory Trad
Generate random german words
Generate random german words / Generiere zufällige deutsche Wörter Getting Started Pip install with pip install zufallsworte Install the library with
Residual2Vec: Debiasing graph embedding using random graphs
Residual2Vec: Debiasing graph embedding using random graphs This repository contains the code for S. Kojaku, J. Yoon, I. Constantino, and Y.-Y. Ahn, R
Random maze generator and solver
Maze Generator and Solver I wrote a maze generator that works with two commonly known algorithms: Depth First Search and Randomized Prims. Both of the
Turn your API made with Django REST Framework(DRF) into a GraphQL like API.
Turn your API made with Django REST Framework(DRF) into a GraphQL like API.
PN-Net a neural field-based framework for depth estimation from single-view RGB images.
PN-Net We present a neural field-based framework for depth estimation from single-view RGB images. Rather than representing a 2D depth map as a single
Datasets accompanying the paper ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers.
ConditionalQA Datasets accompanying the paper ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. Disclaimer This dataset
Direct design of biquad filter cascades with deep learning by sampling random polynomials.
IIRNet Direct design of biquad filter cascades with deep learning by sampling random polynomials. Usage git clone https://github.com/csteinmetz1/IIRNe
Random JSON Key:Pair Json Generator
Random JSON Key:Value Pair Generator This simple script take an engish dictionary of words and and makes random key value pairs. The dictionary has ap
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
tweet random sand cat pictures
sandcatbot setup pip3 install --user -r requirements.txt cp sandcatbot.example.conf sandcatbot.conf vim sandcatbot.conf running the first parameter i
Application made in Django to generate random passwords as based on certain criteria .
PASSWORD GENERATOR Welcome to Password Generator About The App Password Generator is an Open Source project brought to you by Iot Lab,KIIT and it brin
Generates a random prnt.sc link and display image.
Generates a random prnt.sc link and display image.
Random Number Generator
Application for generating a random number.
[ICCV'21] UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction Project Page | Paper | Supplementary | Video This reposit
FAST-RIR: FAST NEURAL DIFFUSE ROOM IMPULSE RESPONSE GENERATOR
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
offline half-random brute force script for Ethereum private keys
eth200swinger offline half-random brute force script for Ethereum private keys, goes from the beginning to end of range and vice versa, saves any foun
Generate different types of random avatars.
avatar-generator Generate different types of random avatars. Requirements Python3 pytorch=1.6 cv2=3.4 tqdm 1. Github-like avatars python generate_gi
Simple Python tool that generates a pseudo-random password with numbers, letters, and special characters in accordance with password policy best practices.
Simple Python tool that generates a pseudo-random password with numbers, letters, and special characters in accordance with password policy best practices.
A PyTorch re-implementation of Neural Radiance Fields
nerf-pytorch A PyTorch re-implementation Project | Video | Paper NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Ben Mildenhall
Code release for NeRF (Neural Radiance Fields)
NeRF: Neural Radiance Fields Project Page | Video | Paper | Data Tensorflow implementation of optimizing a neural representation for a single scene an
Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"
GRAF This repository contains official code for the paper GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. You can find detailed usage i
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Project Page | Paper | Supplementary | Video | Slides | Blog | Talk If
D-NeRF: Neural Radiance Fields for Dynamic Scenes
D-NeRF: Neural Radiance Fields for Dynamic Scenes [Project] [Paper] D-NeRF is a method for synthesizing novel views, at an arbitrary point in time, of
pixelNeRF: Neural Radiance Fields from One or Few Images
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa UC Berkeley arXiv: http://arxiv.org/abs/2
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
NeRF-pytorch NeRF (Neural Radiance Fields) is a method that achieves state-of-the-art results for synthesizing novel views of complex scenes. Here are
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
Deep-Unsupervised-Domain-Adaptation Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E.
CondNet: Conditional Classifier for Scene Segmentation
CondNet: Conditional Classifier for Scene Segmentation Introduction The fully convolutional network (FCN) has achieved tremendous success in dense vis
Conditional probing: measuring usable information beyond a baseline
Conditional probing: measuring usable information beyond a baseline
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
pix2pix-pytorch PyTorch implementation of Image-to-Image Translation Using Conditional Adversarial Networks. Based on pix2pix by Phillip Isola et al.
Collection of admin fields and decorators to help to create computed or custom fields more friendly and easy way
django-admin-easy Collection of admin fields, decorators and mixin to help to create computed or custom fields more friendly and easy way Installation
This is the code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields This is the code for "HyperNeRF: A Higher-Dimensional