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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！
CosmiQ / yolt
Forked from avanetten/yoltYou Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
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
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
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