gjmrookie's Stars
microsoft/autogen
A programming framework for agentic AI 🤖
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
zhayujie/chatgpt-on-wechat
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/GPT4.0/ 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。
bhpfelix/MTLNAS
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
wzhe06/SparkCTR
CTR prediction model based on spark(LR, GBDT, DNN)
lin-xin/wxapp-mall
微信小程序 商城demo
Snailclimb/JavaGuide
「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!
JushuangQiao/Python-Offer
《剑指Offer》面试题Python实现
CosmiQ/yolt
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
XifengGuo/IDEC
czy36mengfei/tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
neelabhpant/Deep-Learning-in-Python
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
franksunjin/Semi-supervised-learning-for-text-classification-using-EM-and-multinomial-boolean-na-ve-Bayes
Semi-supervised learning for text classification using EM and multinomial boolean naïve Bayes
gaobb/FR-TSVM
FR-TSVM
rakesh-sanodiya/Kernel_SSRMO
Kernel based Semi-Supervised Regression using Multiobjective Optimization
jubueche/Semi-supervised-learning-using-ladder-networks
Semi-Supervised multi-class classification, Task 4 ETH Zürich, Intro ML
jasminegrewal/Semi-Supervised-Learning-Logistic-Regression
Implemented Semi Supervised Learning with Logistic Regression
ZChaowen/Semi-Supervised-Learning
Semi-Supervised Learning
huangleiBuaa/Active-GBSSL
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
edche/star_svm
Semi-Supervised SVM via Self-Training with Adaptive Regularization (STAR-SVM)
eamid/sklr
MATLAB implementation of the semi-supervised kernel learning using relative constraints (SKLR) algorithm
Isilendil/OSTL
Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
mehmetgonen/bssml
Bayesian (Semi-)Supervised Multilabel Learning
repjak/plsorgp
A Probabilistic Ordinal Regression Gaussian Process model
chainer/chainer
A flexible framework of neural networks for deep learning
jesolem/PCV
Open source Python module for computer vision
apachecn/fe4ml-zh
:book: [译] 面向机器学习的特征工程