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IIVS, DGIST
- Daegu, Republic of Korea
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09:23
(UTC +09:00)
Highlights
- Pro
Stars
An unofficial styleguide and best practices summary for PyTorch
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Python library for reading and writing image data
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Easily serialize Data Classes to and from JSON
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
Pytorch Lightning code guideline for conferences
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
Video classification tools using 3D ResNet
Provides an uniform layer to support PyQt5, PySide2, PyQt6, PySide6 with a single codebase
Simple yet flexible natural sorting in Python.
PyTorch implementation of soft actor critic
Pytorch implementation of FlowNet by Dosovitskiy et al.
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
Import Linter allows you to define and enforce rules for the internal and external imports within your Python project.
Apply black reformatting to Python files only in regions changed since a given commit. For a practical usage example, see the blog post at https://dev.to/akaihola/improving-python-code-incrementall…
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
PyTorch implementation of two-stream networks for video action recognition
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Simple, Elegant, Typed Argument Parsing with argparse
Python WebAssembly runtime powered by Wasmtime
Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge