- Benin City, Edo State, Nigeria
- @OwenvbugieJ
Starred repositories
code for Data Science From Scratch book
Learn AI/ML for beginners with a roadmap and free resources.
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.dig…
A full-featured, hackable Next.js AI chatbot built by Vercel
🪄 Create rich visualizations with AI
A simple interface to download research papers by DOI or title
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
This Project is based on a mobile company ‘XYZ Mobiles’, a fictional China-based mobile company .
Prompt Engineering for Everybody with ChatGPT and GPT4, by Packt Publishing
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
High accuracy RAG for answering questions from scientific documents with citations
Each day covers topics ranging from Python fundamentals to advanced concepts like LLMs, prompt engineering, and building GenAI applications. Follow along to develop consistency and learn through tu…
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
data-to-paper: Backward-traceable AI-driven scientific research
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Wo…
Probably the best curated list of data science books in Python
Learn the core statistical concepts, followed by application of these concepts using R Studio with the a nice combination of theory and practice. Learn key statistical concepts and techniques like …
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
This repository contains a gentle introduction to machine learning algorithms with hands on practical examples
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application…
List of Books, Courses and other material for Data Science which I found useful
Free resources for learning data science