David Mraz's starred repositories
javascript-algorithms
๐ Algorithms and data structures implemented in JavaScript with explanations and links to further readings
clean-code-javascript
:bathtub: Clean Code concepts adapted for JavaScript
the-algorithm
Source code for Twitter's Recommendation Algorithm
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
professional-programming
A collection of learning resources for curious software engineers
awesome-react-components
Curated List of React Components & Libraries.
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
jsoncrack.com
โจ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
30-Days-Of-React
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
react-developer-roadmap
Roadmap to becoming a React developer
react-bits
โจ React patterns, techniques, tips and tricks โจ
react-in-patterns
A free book that talks about design patterns/techniques used while developing with React.
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Learn_Prompting
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
next-sitemap
Sitemap generator for next.js. Generate sitemap(s) and robots.txt for all static/pre-rendered/dynamic/server-side pages.
react-coding-challenges
A series of ReactJS coding challenges with a variety of difficulties.
llm-client
JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford DSP paper. Create and compose efficient prompts using prompt signatures. ๐ต ๐ฆ ๐ฅ โค๏ธ ๐๐ผ