Pinned Repositories
jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
CapstoneMcgill2019
dslp
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
EDA
Collection of EDA tools contributed by other sources
Keras-YOLOv4
supports training, at least 39.5% mAP.支持训练，至少39.5%mAP。少数的给出精度的复现。
ScheduleCriticality
tcc
dtwParallel
Dynamic Time Warping
Marigold
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
LightedDepth
jackhawa's Repositories
jackhawa/CapstoneMcgill2019
jackhawa/dslp
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
jackhawa/EDA
Collection of EDA tools contributed by other sources
jackhawa/Keras-YOLOv4
supports training, at least 39.5% mAP.支持训练，至少39.5%mAP。少数的给出精度的复现。
jackhawa/ScheduleCriticality
jackhawa/tcc