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A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Uplift modeling and causal inference with machine learning algorithms
A playbook for systematically maximizing the performance of deep learning models.
基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
CTR prediction model based on spark(LR, GBDT, DNN)
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Semi-supervised learning for text classification using EM and multinomial boolean naïve Bayes
Kernel based Semi-Supervised Regression using Multiobjective Optimization
Semi-Supervised multi-class classification, Task 4 ETH Zürich, Intro ML
Implemented Semi Supervised Learning with Logistic Regression
This is a project of my paper related to active learning and graph based semi-supervised learning, which is published on ICME 2014. The project is written by matlab
Semi-Supervised SVM via Self-Training with Adaptive Regularization (STAR-SVM)
MATLAB implementation of the semi-supervised kernel learning using relative constraints (SKLR) algorithm
Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
A Probabilistic Ordinal Regression Gaussian Process model
A flexible framework of neural networks for deep learning