Stars
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A modular graph-based Retrieval-Augmented Generation (RAG) system
Must-read papers on graph neural networks (GNN)
This repository contains implementations and illustrative code to accompany DeepMind publications
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
Biomedical Few-shot Meta-learning Architectures with Classification Base Learners.
ChatMGL: A Large Language Model Fine-tuned for Data Science Questions.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Basic template for creating a Next.js 13 TypeScript project with internationalization (i18n) support using the next-translate-plugin and Material-UI (MUI) components.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
A Flexible and Powerful Parameter Server for large-scale machine learning
Twitter-Server defines a template from which services at Twitter are built
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
Multi tenant SaaS starter kit with cqrs graphql microservice architecture, apollo federation, event source and authentication
A Turborepo with Strapi v4 (w/ postgres database) + Next.js powered by docker and docker-compose
The best way to start a full-stack, typesafe Next.js app
📡 All You Need to Know About Deep Learning - A kick-starter
😎 Awesome lists about all kinds of interesting topics
Master programming by recreating your favorite technologies from scratch.
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
A publicly-editable collection of open computational neuroscience resources