Maschinelles Lernen · GitHub

《Pytorch模型训练实用教程》中配套代码

JAxtar is a project with a JAX-native implementation of parallelizeable A* & Q* solver for neural heuristic search research.

This repository holds the Arduino Library for the EdX TinyML Specialization

This repository holds the Google Colabs for the EdX TinyML Specialization

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

DenseNet implementation in Keras

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Implementation of NIMA: Neural Image Assessment in Keras

[CVPR 2022 Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

The next generation deep reinforcement learning tookit

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Implementation of Graph Auto-Encoders in TensorFlow

Implementation of Graph Convolutional Networks in TensorFlow

Iris-3B pixel-space text-to-image on Apple Silicon GPUs: Metal-optimized engine, native macOS app, CLI, Python and local HTTP API

Distributed TensorFlow basics and examples of training algorithms

Generic and easy-to-use serving service for machine learning models

TensorFlow template application for deep learning