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DMML group
- Switzerland
- https://www.linkedin.com/in/khoa-nguyen-139b9b15b/
- @VKhoaNGUYEN1
Stars
A high-throughput and memory-efficient inference and serving engine for LLMs
A collection of design patterns/idioms in Python
A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.
A modular framework for neural networks with Euclidean symmetry
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
Computations and statistics on manifolds with geometric structures.
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Code for the paper https://arxiv.org/abs/2205.14987v2
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
MoFlow: an invertible flow model for generating molecular graphs
Implementations of various VAE-based semi-supervised and generative models in PyTorch
A Collection of Variational Autoencoders (VAE) in PyTorch.
Models and examples built with TensorFlow
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
Geometric Computer Vision Library for Spatial AI
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Paper bank for Self-Supervised Learning