-
Weill Cornell Medicine / Cornell Tech
Highlights
- Pro
Stars
Sciveris re-executes a study and checks whether the finding is real — data leakage, batch/site confounds, effect-size inflation, p-hacking. Latin: "you will have known."
Latest Advances on Agentic AI & AI Agents for Healthcare
VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing
Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas
Free-Text Promptable Universal 3D Medical Image Segmentation
A virtual lab of LLM agents for science research
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
GUI to run DeepLabCut/POET on live video feed
amathislab / POET-live
Forked from DeepLabCut/DeepLabCut-liveSDK for running DeepLabCut/POET on a live video stream
amathislab / MammAlps
Forked from eceo-epfl/MammAlpsOfficial codebase for MammAlps
MUSt3R: Multi-view Network for Stereo 3D Reconstruction
🙌 OpenHands: AI-Driven Development
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
[ECCV 2024] "Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders"
Create a connectivity map based on injection sites and target sites of regions of interest.
[CVPR 2024] HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
CoTracker is a model for tracking any point (pixel) on a video.
a module for kinematic analysis of deeplabcut outputs
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
[NeurIPS 2023] Latent Exploration for Reinforcement Learning
Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models
We turn natural language descriptions of behaviors into machine-executable code
[ICLR 2023] Official implementation of the paper "Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation "
This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)