Applied Machine Learning Explainability Techniques, published by Packt
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Code and data for crosstalk text generation tasks, exploring whether large models and pre-trained language models can understand humor.
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
An easy-to-use federated learning platform
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt
C++ code accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
You can learn slam step by step，there are lot of tutorials
A project-based course on the foundations of MLOps with a focus on intuition and application.
Handbook of Graphs and Networks in People Analytics
OpenKS - 领域可泛化的知识学习与计算引擎
OpenMMLab course index and materials
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
experiments of some semantic matching models and comparison of experimental results.
Manipulation and analysis of geometric objects
《Software Engineering at Google》的中文翻译版本
Code for Transfer Learning book--《迁移学习导论》配套代码
YLearn, a pun of "learn why", is a python package for causal inference