Python Essential-generators Resources

07_Python_Advanced_Topics Introduction 👋 In this tutorial, you will learn about: Python Iterators: They are objects that can be iterated upon. In thi

AMOS This repository contains the scripts for fine-tuning AMOS pretrained models on GLUE and SQuAD 2.0 benchmarks. Paper: Pretraining Text Encoders wi

I³ Tracker for Essential Open Innovation Datasets This repository is set up to track, version, and contribute updates to the I³ Essential Open Innovat

This Genrates Random Numbers. This Random Number Generator was made using python. This software uses Time and Random extension. Download the EXE file and run it to get your answer.

simplified_mediapipe_face_landmarks Extracts essential Mediapipe face landmarks and arranges them in a sequenced order. The default 478 Mediapipe face

Essential Document Generator Dead Simple Document Generation Whether it's testing database performance or a new web interface, we've all needed a dead

Base Dev EN This GitHub will be available in French and English FR Ce GitHub sera disponible en français et en anglais Author License Screen EN 🇬🇧 D

ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using

ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators [Project Website] [Replicate.ai Project] StyleGAN-NADA: CLIP-Guided Domain Adaptation

Query Variation Generators This repository contains the code and annotation data for the ECIR'22 paper "Evaluating the Robustness of Retrieval Pipelin

This repository creates meshes of the same domains with multiple mesh generators and compares the results.

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

Multtable Multtable is a collection of multiplication table generators in various languages. This project was created as a joke based on one of my bro

PGpoints Pytorch implementation of the paper Progressive Growing of Points with Tree-structured Generators (BMVC 2021) Hyeontae Son, Young Min Kim Pre

Join us on What is Synthetic Data? Synthetic data is artificially generated data that is not collected from real world events. It replicates the stati

Boolean Prompting for Neural Text Generators Neural text generators like the GPT models promise a general-purpose means of manipulating texts. These m

A python-tabulate wrapper for producing tables from generators. Motivation lazy_table is useful when (i) each row of your table is generated by a poss

Discord Selfbot Xyno Discord Selfbot Xyno is a simple but useful selfbot for Discord. It has currently limited useful features but it will be updated

Skywaters 130nm Technology for KLayout Device Generators Mabrains is excited to share with you our Device Generator Library for Skywater 130nm PDK. It

Maximum Entropy Generators for Energy-Based Models All experiments have tensorboard visualizations for samples / density / train curves etc. To run th

DRF Generators Writing APIs can be boring and repetitive work. Don't write another CRUDdy view in Django Rest Framework. With DRF Generators, one simp

BasicVSR BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond Ported from https://github.com/xinntao/BasicSR Dependencie

ARAPReg Code for ICCV 2021 paper: ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators.. Installation The cod

A 2D Visual Localization Framework based on Essential Matrices This repository provides implementation of our paper accepted at ICRA: To Learn or Not

GS-WGAN This repository contains the implementation for GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators (NeurIPS

Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte

CIPS -- Official Pytorch Implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis Requirements pip install -r requi

Essential BYOL A simple and complete implementation of Bootstrap your own latent: A new approach to self-supervised Learning in PyTorch + PyTorch Ligh

BayesO: A Bayesian optimization framework in Python Simple, but essential Bayesian optimization package. http://bayeso.org Online documentation Instal