WooJin-Cho

inr_based_compression

Contains the implementation of the paper "Implicit Neural Representation for Image Compression" at ECCV 2022

nerf

Code release for NeRF (Neural Radiance Fields)

CF-KAN

KAN (Kolmogorov-Arnold Network)-based Recommendation (CF)

hcmt

IPOT

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)

c3_neural_compression

BSPM

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

guijinSON.github.io

prometheus-vision

[ACL 2024 Findings & ICLR 2024 WS] An Evaluator VLM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically designed for fine-grained evaluation on customized score rubric, Prometheus-Vision is a good alternative for human evaluation and GPT-4V evaluation.

prometheus

[ICLR 2024 & NeurIPS 2023 WS] An Evaluator LM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically designed for fine-grained evaluation on a customized score rubric, Prometheus is a good alternative for human evaluation and GPT-4 evaluation.

SPINN

Source code for Separable PINN

BFNO-NODE

fiftyone

The open-source tool for building high-quality datasets and computer vision models

MiniROAD

iclr2024-openreview-submissions

ICLR 2024 OpenReivew Submission Data

Neural-PDE-Solver

myriad

Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.

Hyper-LR-PINN

awesome-implicit-representations

A curated list of resources on implicit neural representations.

LORD

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations(ICLR 2022)

functa

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

PINN

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

NeuralLaplace

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

mwt-operator

Multiwavelets-based operator model

neuraloperator

Learning in infinite dimension with neural operators.