Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).

Machine-learning-based performance prediction for AI workloads

Official pytorch implementation of the paper: "Classification Diffusion Models: Revitalizing Density Ratio Estimation"

[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

A Lossless Compression Library for AI pipelines

A high-throughput and memory-efficient inference and serving engine for LLMs

OpenTelemetry Python API and SDK

Localizing Regions on 3D Shapes via Text Descriptions

Provides network connectivity to WSL 2 when blocked by VPN

Open-source observability for your LLM application, based on OpenTelemetry

Robustifying Point Cloud Networks by Refocusing

This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Sou…

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

MCAD v2

A Gateway for connecting application services in different domains, networks, and cloud infrastructures

🌸 A command-line fuzzy finder

compare the theory attention gradient with PyTorch attention gradient

Pytorch code for ICRA 2022 Paper StructFormer

Ensemble of Partial Points Clouds for Robust Classification

Now you can open shell in Google Collab

Tensors, for human consumption

Network Observability plugin for the Openshift Console

A syntax-highlighting pager for git, diff, grep, and blame output

Robust Speech Recognition via Large-Scale Weak Supervision

Probing the representations of Vision Transformers.

visual studio code extension simply view the image of the image variables when debugging python