Python Model-Training-as-a-CI-CD-System Resources

GP-VAE This repository provides datasets and code for preprocessing, training and testing models for the paper: Diverse Text Generation via Variationa

Kaggle Competition: Forest Cover Type Prediction In this project we predict the forest cover type (the predominant kind of tree cover) using the carto

scAR scAR (single cell Ambient Remover) is a package for denoising multiple single cell omics data. It can be used for multiple tasks, such as, sgRNA

Face Mask Detection The Model is designed to check if any human is wearing a mask or not. Dataset Description The Dataset contains a total of 11,792 i

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation This is the implementaion of our paper: Bridging the

DNN Training, from theory to practice This repository is complementary to the deep learning training lesson given to les Mines ParisTech on the 11th o

ONNX-HybridNets-Multitask-Road-Detection Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONN

A three-stage detection and recognition pipeline of complex meters in wild This is the first released system towards detection and recognition of comp

Self-Hosted Home Security Camera System A privacy-focused, intelligent security camera system. Features: Multi-camera support w/ minimal configuration

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Codes for this paper: [CVPR 2022] The Pr

solarSystemOrbitalSimulation graphical orbitational simulation of solar system planets with real values and physics implemented so you get a nice elli

Swahili News Classifier Streamlit App A simple app to classify swahili news into different categories. Installation Install all streamlit requirements

architecture-traning Architecture Patterns with Python (TDD, DDD, EDM) Chapter 5. 높은 기어비와 낮은 기어비의 TDD 5.2 도메인 계층 테스트를 서비스 계층으로 옮겨야 하는가? 도메인 계층 테스트 def

PBH-Hash-System A simple hash system. Usage You could use it like this: from pbh import pbh print(pbh("Hey", True)) Output: 2feae2471698cfcdcbd6b98ca

By: Seanpm2001, Meadows Et; Al. Top README.md Read this article in a different language Sorted by: A-Z Sorting options unavailable ( af Afrikaans Afri

End-to-end Music Remastering System This repository includes source code and pre

Domoticz Hyundai-Kia plugin Author: Creasol https://www.creasol.it/domotics For

DiffGAN-TTS - PyTorch Implementation PyTorch implementation of DiffGAN-TTS: High

Diabetes-Feature-Engineering Aim Developing a machine learning model that can pr

Regression Free Model Update Code for the paper: Regression Bugs Are In Your Mod

Super-Fast-Adversarial-Training This is a PyTorch Implementation code for develo

SiD - Simple Deep Model Vectorwise Interpretable Attentions for Multimodal Tabul

OS_Algo_Visualization Operating system algorithm visualization using python pyga

Real-Time-Student-Attendence-System The Student Attendance Management System Pro

Backup Operator Registry Backup to Domain Compromise A simple POC that abuses Ba

smart_edu-autobooking Sistema di autoprenotazione per l'aula studio Johnson@DMI-

Simple-System-Convert--C--F REQUIREMENTS Python version : 3 HOW TO USE Run the c

Fuwa HTTP The HTTP client implementation for the fuwa eco-system Example import

Product-based-recommendation-system A product based recommendation system which

Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit

HashNeRF-pytorch Instant-NGP recently introduced a Multi-resolution Hash Encodin

🦾 Automation of NU Health Management System 🤖 長崎大学 健康管理システムの自動化 🏯 Usage / 使い方

Lightweight (Bayesian) Media Mix Model This is not an official Google product. L

"# SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING" i

Lottery Purchase Prediction Model Objective and Goal Predict the lottery type th

BED: A Real-Time Object Detection System for Edge Devices About this project Thi

-Python-DNS-Lookup- ✨ 🌟 Python DNS Lookup ✨ 🌟 The Domain Name System (DNS) is

OpenDelta is a toolkit for parameter efficient methods (we dub it as delta tuning), by which users could flexibly assign (or add) a small amount parameters to update while keeping the most paramters frozen. By using OpenDelta, users could easily implement prefix-tuning, adapters, Lora, or any other types of delta tuning with preferred PTMs.

torque_model The torque model is a spiritual successor to op-smart-torque, which was a project to train a neural network to control a car's steering f

LRM-Squannacook Input data for generating stochastic streamflows are observed and simulated timeseries of streamflow. their format needs to be CSV wit

Over-the-Air Ensemble Inference with Model Privacy This repository contains simulations for our private ensemble inference method. Installation Instal

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

Breast-Cancer-Detection Breast cancer is the most frequent cancer among women, with around one in every 19 women at risk. The number of cases of breas

Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX

Brain-Tumor-Detection Building a detection model using a convolutional neural network in Tensorflow & Keras. Used brain MRI images. InceptionResNetV2

3DSimpleTurntable 3D Model files and source code for rotating turntable. Raspberry Pi, DC servo and PWM modulator required. Preview Construction Print

Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu

An example module hooking system, will be used in PySAMP.

Learned NDV estimator Learned model to estimate number of distinct values (NDV) of a population using a small sample. The model approximates the maxim

[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training The Unreasonable Effectiveness of

LyaNet: A Lyapunov Framework for Training Neural ODEs Provide the model type--config-name to train and test models configured as those shown in the pa

RerrFact This repository contains the code for: RerrFact model for SciVer shared task. Setup for Inference 1. Download SciFact database Download the S

This is the replication package for paper submission: Towards Training Reproducible Deep Learning Models.

Python implementation of NARS (Non-Axiomatic-Reasoning-System)

A GUI based CRUD database management system built using mysql and python

💿 Sistema de Gerenciamento de Usuário (SGU) 📚 Sobre o projeto Sistema de gerenciamento de usuários (SGU), tem o objetivo primário de se conectar a u

Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute

Student-Result-Management-System This Student Result Management System Project in tkinter created based on python, tkinter, and SQLITE3 Database. The

A visual indicator of what environment/system you're using in django

TopClus The source code used for Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations, published in WWW 2022. Requ

We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.

BROS (BERT Relying On Spatiality) is a pre-trained language model focusing on text and layout for better key information extraction from documents. Given the OCR results of the document image, which are text and bounding box pairs, it can perform various key information extraction tasks, such as extracting an ordered item list from receipts

PyTorch NeRF and pixelNeRF NeRF: Tiny NeRF: pixelNeRF: This repository contains minimal PyTorch implementations of the NeRF model described in "NeRF:

Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.

PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".

Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features

Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu

Automates much of the process of moving translations from the old Multilingual external module to the newer built-in Multi-Language Management (MLM) page.

Vulnerability assessment for CVE-2022-22536 This repository contains a Python script that can be used to check if a SAP system is affected by CVE-2022

Parallel web scraping The project is a training task for web scraping using python multithreading and a real-time-updated list of available proxy serv

This repository provides a custom DeepStack model that has been trained detecting ONLY the USPS logo. This was created after I discovered that the Deepstack OpenLogo custom model I was using did not contain USPS.

Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).

Official code of Retinal Vessel Segmentation with Pixel-wise Adaptive Filters and Consistency Training (ISBI 2022)

Setup process Creates a virtual environment (Scripts that ensure executed Python code uses the Python interpreter and site packages installed inside t

ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg

email_sending An email sending system with random confirmation code. Description Confirmation emails are sent based on the list of email addresses. Ea

A fun discord bot for music, mini games, admin controls, economy, ai chatbot and levelling system. This bot was specially made for Dspark discord server.

CBO’s CapTax Model CBO uses its Capital Tax model (CBO-CapTax) to estimate the effects of federal taxes on capital income from new investment. Specifi

SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you

major-system-converter Set of scripts & tools for converting between numbers and major system encoded words. Uses phonetics instead of letters to conv

Simple local RPG turn-based to play while learn something using the anki system

⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor

LabelImg LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML

Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model About This repository contains the code to replicate the syn

Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i

HCSC: Hierarchical Contrastive Selective Coding This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive

FewBit FewBit — a library for memory efficient training of large neural networks. Its efficiency originates from storage optimizations applied to back

SentiMent Analysis In this project I built a model to classify movie reviews fromn the IMDB dataset of 50K reviews. WordtoVec : Neural networks only w

PointTracking This code is written by Majid Masoumi @ [email protected] I have used lucas kanade optical flow technique to track the points b

Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron

Differentially private Imagenet training Code for the tech report Toward Training at ImageNet Scale with Differential Privacy by Alexey Kurakin, Steve

Official PyTorch implementation of the paper "Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory (SB-FBSDE)" which introduces a new class of deep generative models that generalizes score-based models to fully nonlinear forward and backward diffusions.

Recommender systems are the systems that are designed to recommend things to the user based on many different factors. The recommender system deals with a large volume of information present by filtering the most important information based on the data provided by a user and other factors that take care of the user’s preference and interest.

An Efficient Library for Training Deep Models This repository provides an efficient PyTorch-based library for training deep models. Installation Make

ok-system-helper ok-system-helper是一个简单的系统硬件的实时信息收集工具，使用python3.x开发，支持哪些硬件：CPU、内存、SWAP、磁盘、网卡流量。用户可在自己的项目中直接引入、开箱即用，或者结合flask等web框架轻松做成http接口供前端调用，亦可通过注

Emotion-Detection Job Assignment System by Real-time Emotion Detection Emotion is the essential role of facial expression and it could provide a lot o

To create a deep learning model which can explain the content of an image in the form of speech through caption generation with attention mechanism on Flickr8K dataset.

A state estimator for power system. Turbocharged with sparse matrix support, JIT, SIMD and improved ordering.

This repository contains the official PyTorch implementation of the "CRF-RNN" semantic image segmentation method, published in the ICCV 2015

Python inverse kinematics for your robot model based on Pinocchio.