acdc-digital
I am the Owner of ACDC.digital. A hobby project implementing artificial intelligence into Workstations for fun.
ACDC.digitalHalifax, NS, Canada
acdc-digital's Stars
tauri-apps/tauri
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
mozilla/pdf.js
PDF Reader in JavaScript
prisma/prisma
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
microsoft/autogen
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
alan2207/bulletproof-react
🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.
filebrowser/filebrowser
📂 Web File Browser
SnapKit/SnapKit
A Swift Autolayout DSL for iOS & OS X
vercel/ai
Build AI-powered applications with React, Svelte, Vue, and Solid
ixartz/Next-js-Boilerplate
🚀🎉📚 Boilerplate and Starter for Next.js 15 with App Router and Page Router support, Tailwind CSS 3.4 and TypeScript ⚡️ Made with developer experience first: Next.js + TypeScript + ESLint + Prettier + Drizzle ORM + Husky + Lint-Staged + Vitest + Testing Library + Playwright + Storybook + Commitlint + VSCode + Netlify + PostCSS + Tailwind CSS ✨
tauri-apps/awesome-tauri
🚀 Awesome Tauri Apps, Plugins and Resources
Layout-Parser/layout-parser
A Unified Toolkit for Deep Learning Based Document Image Analysis
brianpetro/obsidian-smart-connections
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
deepdoctection/deepdoctection
A Repo For Document AI
fastai/lm-hackers
Hackers' Guide to Language Models
zahidkhawaja/langchain-chat-nextjs
Next.js frontend for LangChain Chat.
adrianhajdin/pricewise
Dive into web scraping and build a Next.js 13 eCommerce price tracker within a single video that teaches you data scraping, cron jobs, sending emails, deployment, and more.
DataDog/documentation
The source for Datadog's documentation site.
christianselig/Markdownosaur
Leverages Apple's Swift-based Markdown parser to output NSAttributedString.
RenzeLou/awesome-instruction-learning
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
edgestorejs/edgestore
BobaZooba/xllm
🦖 X—LLM: Cutting Edge & Easy LLM Finetuning
allenai/vila
Incorporating VIsual LAyout Structures for Scientific Text Classification
taecontrol/orion
Open AI playground
abhishek305/PyBot-A-ChatBot-For-Answering-Python-Queries-Using-NLP
Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.
naiveHobo/pdfviewer
PDFViewer is a GUI tool, written using python3 and tkinter, which lets you view PDF documents.
deepdoctection/notebooks
Repository for deepdoctection tutorial notebooks
gaborsoter/awesome-ai-dev-productivity
thesaadmirza/python-fsutil
file-system utilities for lazy devs. :zombie_man:
acdc-digital/elvato.lighting
💡 💡 💡 Welcome to Elvato, a leading provider of innovative interior lighting and design solutions.
acdc-digital/solomon-electron
Solomon-Electron is a developing full-service Workstation for proactively managing projects at scale. Project content is vectorized and can be utilized by the in-app assistant for quick contextual retrieval combining the developing technologies of AI and intuitive Dashboard Management.