- Melbourne, Australia
Stars
Dataset and Code for our ACL 2024 paper: "Multimodal Table Understanding". We propose the first large-scale Multimodal IFT and Pre-Train Dataset for table understanding and develop a generalist tab…
LLM Zoomcamp - a free online course about building a Q&A system
🐢 Open-Source Evaluation & Testing for ML models & LLMs
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
Code examples, slides and any relevant material supporting the class
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
A resource to help you pass system design interview and become good at work 👇
A collection of learning resources for curious software engineers
The Querynomicon: An Introduction to SQL for Wary Data Scientists
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Solutions provided to Chip Huyen's Machine Learning Interview Book with GPT
⛳️ PASS: Amazon Web Services Certified (AWS Certified) Developer Associate (DVA-C02) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
DevOps Roadmap for 2024. with learning resources
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
A framework for data augmentation for 2D and 3D image classification and segmentation
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
What would you do with 1000 H100s...
DSPy: The framework for programming—not prompting—foundation models
All Algorithms implemented in Python
Advanced Python Mastery (course by @dabeaz)
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"