Maschinelles Lernen · GitHub

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

React Native On-Device Machine Learning w/ Google ML Kit

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

an experiment for yolo-v1, including training and testing.

A flexible, effective and fast cross-view gait recognition network

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Complete-Life-Cycle-of-a-Data-Science-Project

Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

Code for FCHD - A fast and accurate head detector

向顶会优秀论文学科研｜Oral Paper Skill — 从 883 篇 Oral 论文摘要中“蒸馏”共通做法，用于论文对照改进与学习复盘 · Skill + prompt pack (CN/EN). Learn from 883 Oral paper abstracts to improve your research and writing.