38 results for “topic:pre”
This project is being developed privately.
List of (automatic) protocol reverse engineering tools for network protocols
🌱 🎥 Markdown presentations using your webcam
No description provided.
Vue 3 CodeBlock - Highlight your code with ease using this syntax highlighting component powered by PrismJS or Highlight.js.
微信小程序富文本解析(仅支持HTML)，在rich-text标签引用结果“树”
No description provided.
Proxy Re-Encryption library using Bilinear Maps in JavaScript.
edithspace/ui
Magento 2 Pre Oder
Code syntax highlighting React component
Analysis of molecular dynamics trajectories or conformational ensembles in terms of spin-label distances as probed in double electron-electron resonance (DEER) experiments.
Layer 2 Protocol Reverse Engineering
kotlin pre-processor, written in kotlin for kotlin - all updates will now come from https://github.com/mgood7123/kpp-Native
Including pre-trained language models for fine-tuning on other NLP tasks
🔥Fire up your Coding Career! Get Started. Get Noticed.😎 In collaboration with @PreethiSamanthaBennet✨ and @Priya-Thiagarajan✨
This repository contains code for Email Spam Filtering using two machine learning algorithms, Decision Trees and K-Nearest Neighbors (KNN). The code includes data preprocessing, model creation, hyperparameter tuning, and model evaluation. The models are trained on a dataset of emails labeled as spam or non-spam.
From C to Rust and Back
Defunct Gmail app for Palm/HP webOS devices.
A decentralized prediction market platform on Solana empowering users to forecast real-world events. Focused on transparency & accountability.
NextJS starter template using TypeScript and Tailwind CSS, and includes VSCode + Prettier + ESLint.
HTML like Preformatted (<pre>) text with console app for GOLANG
Return a regular expression to match a semantic version string.
Semester project for UMich EECS 583 Compilers course
Pre Release Materials
ADOS is an OS made by the GitHub comunity, the Owner is AlainDevelop.
No description provided.
We harness the power of machine learning and data analysis to real challenges in the copper industry. Our documentation covers data preprocessing, feature engineering, classification, regression, and model selection. Discover how we've optimized predictive capabilities for manufacturing solutions.
example repository for go get @
test