jkim50104

Uni3D

[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

snubi_zeus2022

Socket_Communication

trial_and_learn

Mask3D

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

SMAC4SelfPlay

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

3D-LLM

Code for 3D-LLM: Injecting the 3D World into Large Language Models

SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

jkim50104/d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

jkim50104/snubi_zeus2022

jkim50104/Socket_Communication

jkim50104/trial_and_learn