Kaiwen Dong

@Barcavin Β· User

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Actually the success of all Machine Learning algorithms depends on how you present the data

University of Notre DameNotre Dame, IN11 followers29 repositories

Repositories

Barcavin/context_LP

Code for TMLR paper: "Universal Link Predictor By In-Context Learning on Graphs"

β˜… 4PythonForks 1

Barcavin/smolagents

πŸ€— smolagents: a barebones library for agents that think in code.

β˜… 0PythonForks 0

Barcavin/Barcavin.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

β˜… 0JavaScriptForks 0

Barcavin/SPIN

The official implementation of Self-Play Fine-Tuning (SPIN)

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Barcavin/computer-agent

Desktop app powered by Claude’s computer use capability to control your computer

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Barcavin/markitdown

Python tool for converting files and office documents to Markdown.

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Barcavin/reasoning-on-graphs

Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

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Barcavin/nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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Barcavin/ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

β˜… 0PythonForks 0

Barcavin/subgraph-sketching

code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486

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Barcavin/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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Barcavin/transformers

πŸ€—Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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Barcavin/eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

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Barcavin/shap

A unified approach to explain the output of any machine learning model.

β˜… 0Jupyter NotebookForks 0