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Starred repositories
28
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written in Jupyter Notebook
Clear filter
A latent text-to-image diffusion model
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
A collection of pre-trained, state-of-the-art models in the ONNX format
Image restoration with neural networks but without learning.
A better notebook for Scala (and more)
[ICCV 2019] Monocular depth estimation from a single image
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
MTCNN face detection implementation for TensorFlow, as a PIP package.
pytorch implementation of openpose including Hand and Body Pose Estimation.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Python class that generates pixel art from images
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory …
Pytorch implementation of Augmented Neural ODEs 🌻
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Epipolar Transformers (best paper award, CVPR 2020 workshop)
Single Image Depth Estimation with Feature Pyramid Network
[AAAI 2021] HR-Depth : High Resolution Self-Supervised Depth Estimation
Design your own matplotlib stylefile interactively
We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
A virtual environment that allows changing isolated features in the image
Robust Facial Landmark Detection