ulzee's Stars
AIM-Harvard/foundation-cancer-image-biomarker
[Nature Machine Intelligence 2024] Code and evaluation repository for the paper
nv-tlabs/XCube
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
OpenGVLab/InternVideo
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
speedyapply/2025-AI-College-Jobs
2025 AI/ML internship & new graduate job list updated daily
cozygene/SLIViT
An AI framework for clinical diagnosis of 3D biomedical scans
ulzee/ulzee.github.io
comfyanonymous/ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
BobXWu/TopMost
A Topic Modeling System Toolkit
yixinliu233/SimpDM
[CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation
ypeleg/llama
User-friendly LLaMA: Train or Run the model using PyTorch. Nothing else.
AprilWei001/NIM
paulhager/MIMIC-Clinical-Decision-Making-Analysis
Code repository to analyse the performance and results of selected LLMs using the MIMIC CDM dataset.
alipazokit/RHEmc-coeff
ZhiGroup/Med-BERT
Med-BERT, contextualized embedding model for structured EHR data
aespresso/poincare-embedding-icd-coding-pytorch
pytorch implementation of poincare embedding for ICD coding hierarchy(ICD-9-CM3)
kaneplusplus/icd-10-cm-embedding
LLM Embeddings for ICD 10 Data
microsoft/Table-Pretraining
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
yilunzhao/Awsome-Table-Reasoning
A comprehensive paper list of Reasoning over Tables.
sjunhongshen/ORCA
Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"
sriramlab/SUMRHE
Summary statistics-based Randomized Haseman-Elston regression
cientgu/VQ-Diffusion
vvvm23/vqvae-2
PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"
Washington-University/HCPpipelines
Processing pipelines for the HCP
tomaarsen/attention_sinks
Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
airalcorn2/vqvae-pytorch
A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".
OxWearables/capture24
CAPTURE-24: Human activity recognition with activity trackers
OxWearables/biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasets
apapiu/mamba_small_bench
Trying out the Mamba architecture on small examples (cifar-10, shakespeare char level etc.)
uzh-dqbm-cmi/eustar_dgm4h
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.