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A modular graph-based Retrieval-Augmented Generation (RAG) system
Efficient modeling interface for mathematical optimization in Python
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A generative speech model for daily dialogue.
Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
A gymnasium environment for the job shop problem using the disjunctive graph approach
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
GPT based autonomous agent that does online comprehensive research on any given topic
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Template for Python Projects
Tabular Deep Learning Library for PyTorch
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
The official GitHub page for the survey paper "A Survey of Large Language Models".
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Curated list of project-based tutorials
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Graphormer is a general-purpose deep learning backbone for molecular modeling.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Strategies for Pre-training Graph Neural Networks