Barcavin/context_LP
Code for TMLR paper: "Universal Link Predictor By In-Context Learning on Graphs"
Actually the success of all Machine Learning algorithms depends on how you present the data
Code for TMLR paper: "Universal Link Predictor By In-Context Learning on Graphs"
π€ smolagents: a barebones library for agents that think in code.
Code for Neurips 2024 paper: "Pure Message Passing Can Estimate Common Neighbor for Link Prediction"
Examples and guides for using the OpenAI API
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
The official implementation of Self-Play Fine-Tuning (SPIN)
Desktop app powered by Claudeβs computer use capability to control your computer
Python tool for converting files and office documents to Markdown.
Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
The implementation of back-propagation algorithm from scratch
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Graph Neural Network Library for PyTorch
:alarm_clock: AI conference deadline countdowns
Benchmark datasets, data loaders, and evaluators for graph machine learning
code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Code for visualizing the loss landscape of neural nets
β¨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
π€Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Data augmentation for NLP, presented at EMNLP 2019
A unified approach to explain the output of any machine learning model.
Implementation of the document embedding method.