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NVIDIA
- San Jose, CA
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10:44
(UTC -08:00) - camille-004.github.io
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cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
An open-source efficient deep learning framework/compiler, written in python.
Areg SDK acts as a network operator for C++ programs: automates RPC, IPC, and distributed communication.
CSE158 assignment 1 top solution
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
virtual node analysis on ogb benchmark dataset
Winning solution for the Taxi-Trip Time Prediction Challenge on Kaggle
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
Optimization Techniques for Long Range Graph Interactions
Pyramid Stereo Matching Network (CVPR2018)
tianyudwang / robosuite
Forked from ARISE-Initiative/robosuiterobosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
Tutorials/use cases of using Prefect in an ML project.
A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
[NeurIPS 2022] Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again by Ajay Jaiswal*, Peihao Wang*, Tianlong Chen, Justin F Rousseau, Ying Ding, Zhangyang Wang
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
AI Studio x vLoong能源AI挑战赛——异常检测赛 A榜 TOP11 B榜 TOP8 方案
Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.
The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
A Note On Over-Smoothing for Graph Neural Network