westny

westny's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.6k287412.2k

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python3.9k3638350

• GuyTevet/motion-diffusion-model

  The official PyTorch implementation of the paper "Human Motion Diffusion Model"

  Language:Python3.1k69208333

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k1771689

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.4k52134285

• jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction

  A selection of state-of-the-art research materials on trajectory prediction

  Language:TeX1.4k620300

• NVlabs/edm

  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

  Language:Python1.3k2925137

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition

  Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

  Language:Jupyter Notebook1.1k2544534

• cloneofsimo/minDiffusion

  Self-contained, minimalistic implementation of diffusion models with Pytorch.

  Language:Python85287116

• argoverse/argoverse-api

  Official GitHub repository for Argoverse dataset

  Language:Python84328197241

• fzi-forschungszentrum-informatik/Lanelet2

  Map handling framework for automated driving

  Language:C++79431259325

• StanfordASL/Trajectron-plus-plus

  Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

  Language:Jupyter Notebook6492490184

• TeaPearce/Conditional_Diffusion_MNIST

  Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

  Language:Python6164968

• NVlabs/edm2

  Analyzing and Improving the Training Dynamics of Diffusion Models (EDM2)

  Language:Python48912519

• ZikangZhou/QCNet

  [CVPR 2023] Query-Centric Trajectory Prediction

  Language:Python477114576

• wjmaddox/swa_gaussian

  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

  Language:Jupyter Notebook439132181

• Psychic-DL/Awesome-Traffic-Agent-Trajectory-Prediction

  This is a list of papers related to traffic agent trajectory prediction.

  37822343

• FGiuliari/Trajectory-Transformer

  Code for "Transformer Networks for Trajectory Forecasting"

  Language:Python355819110

• argoverse/av2-api

  Argoverse 2: Next generation datasets for self-driving perception and forecasting.

  Language:Python3171015875

• probabilisticai/probai-2022

  Materials of the Nordic Probabilistic AI School 2022.

  Language:Jupyter Notebook1706028

• MediaBrain-SJTU/LED

  [CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction

  Language:Jupyter Notebook13841717

• mllam/neural-lam

  Neural Weather Prediction for Limited Area Modeling

  Language:Python10463540

• probabilisticai/probai-2023

  Materials of the Nordic Probabilistic AI School 2023.

  Language:Jupyter Notebook866018

• oborchers/Medium_Repo

  This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.

  Language:Jupyter Notebook511115

• STIMALiU/ml-reading-group

  Information and organization of the STIMA Machine Learning Reading Group

  211312

• IEEE-ITSS-HAIT/2024-IEEE-ITSS-PBP

  1814

• PGM-Lab/2023-ProbAI

  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023

  Language:Jupyter Notebook17105

• probabilisticai/dt8122-2023

  Language:Jupyter Notebook9502

• vgsatorras/probai

  Deep Generative Models: Diffusion Models for Molecule Generation

  Language:Python7310

• joeloskarsson/continuous-temporal-gnn

  Code for the paper "Temporal Graph Neural Networks with Time-Continuous Latent States"

  Language:Python4400