A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

A fast, simple & powerful blog framework, powered by Node.js.

SoftVC VITS Singing Voice Conversion

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Workflow for geometric and radiometric calibration of airborne imaging spectroscopy data, especially using HySpex devices.

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycleg…

(Front Plant Sci'20) TasselNetv2+: A Fast Implementation for High-Throughput Plant Counting from High-Resolution RGB Imagery

Most of codes I wrote for research are here

GeoTorch: A Spatiotemporal Deep Learning Framework

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Implementation of deep implicit attention in PyTorch

CBAM implementation on Keras

Large Margin Nearest Neighbors implementation in python

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

Software to convert Airborne Laser Scans to Plant Area Density

rlsepl-fse.github.io

Tensorflow implementation of Gated Graph Neural Network for Graph Classification

Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

TensorFlow implementations of Graph Neural Networks

Website for "A Survey of Machine Learning for Big Code and Naturalness"