Popular GitHub Repositories for Inductive Biases

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

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[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

Train a state-of-the-art yolov3 object detector from scratch!

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

[ICCV'23] Hidden Biases of End-to-End Driving Models

wandbot is a technical support bot for Weights & Biases' AI developer tools that can run in Discord, Slack, ChatGPT and Zendesk

The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond"

Inductive relation prediction by subgraph reasoning, ICML'20

A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

30 Semi-Supervised Learning Algorithms

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Transferable Decoding with Visual Entities for Zero-Shot Image Captioning, ICCV 2023

A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch