- Austin, TX
-
18:18
(UTC -05:00) - https://orcid.org/0009-0003-5559-2533
- @no_hype_ai
- in/nick-king
Highlights
Stars
Fully animated, open-source component distribution built with React, TypeScript, Tailwind CSS, Motion, and Shadcn CLI. Browse a list of components you can install, modify, and use in your projects.
CCPVE - Scripts for management and task automation in Proxmox VE
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
Open-source components, blocks, and AI agents designed to speed up your workflow. Import them seamlessly into your favorite tools through Registry and MCPs.
Scalable and efficient data transformation framework - backwards compatible with dbt.
Supercharge your applications using Cloudflare Workers and Gemini within minutes (and for free, up to hundreds of requests per day) ☁️✨
Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift, Databricks) in real-time.
The Monorepo Platform that amplifies both developers and AI agents. Nx optimizes your builds, scales your CI, and fixes failed PRs automatically. Ship in half the time.
An open-source AI agent that lives in your terminal.
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.
The open source product management platform.
Build production-ready applications in TypeScript
Python task scheduler with a user-friendly web UI
WONDERBREAD benchmark + dataset for BPM tasks
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Use NLP and ML for Sentiment analysis to improve Stock Prediction models. Crawl data, generate training labels, integrate 3 data sources, and experiment with many combinations of labels and algorit…
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the arti…
Python live trade execution library with zipline interface.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapRed…
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.