Stars
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.
A Gateway for connecting application services in different domains, networks, and cloud infrastructures
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
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
Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
An OpenShift / Kubernetes operator for network observability