Code for "The Geometry of Concepts: Sparse Autoencoder Feature Structure"

A collection of MCP servers.

Training Sparse Autoencoders on Language Models

awesome papers in LLM interpretability

Sparse Autoencoder for Mechanistic Interpretability

The UTIAS UWB dataset and data parsing scripts.

A personal resume website template built with React.js, Typescript, Next.js, and styled with Tailwind css

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

Multi-modal multi-lidar dataset

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

Generative Models by Stability AI

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

[ACL 2020] Code and data for our paper "It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information"

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

My website source in Jekyll bootstrap.

image scene graph generation benchmark

Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation

Faster RCNN with PyTorch

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

Demo code for the paper: One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features

Lucid library adapted for PyTorch

《Graph Optimization Approach to Range-based Localization》; UWB localization

[DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification

Epitomic Variational Graph Autoencoder

This repository implements variational graph auto encoder by Thomas Kipf.

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models