Predicting-Customer-Return

The "Python Machine Learning (1st edition)" book code repository and info resource

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

The implementation of DeBERTa

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and ?ukasz Kaiser offered by deeplearning.ai

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

Source code for my blog post "Getting started with TensorFlow on iOS"

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Tool that predicts the outcome of a Dota 2 game using Machine Learning

Gender recognition by voice and speech analysis