Maschinelles Lernen · GitHub

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

Understanding Convolution for Semantic Segmentation

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

Crystal graph convolutional neural networks for predicting material properties.

基于卷积神经网络的数字手势识别安卓APP，识别数字手势0-10（The number gestures recognition Android APP based on convolutional neural network(CNN), which can recognize the gestures corresponding number 0 to 10）

Public documents for the Master of Data Science program at the University of British Columbia

UPSNet: A Unified Panoptic Segmentation Network

A uniform interface to run deep learning models from multiple frameworks

Learning to trade under the reinforcement learning framework

The official implementation of Self-Play Preference Optimization (SPPO)

Compact multi-head text classifier for short, domain-neutral routing decisions.

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

Ultralytics organization-wide GitHub community health files, issue and pull request templates, and the public org profile.