Pinned Repositories
alibi
Algorithms for monitoring and explaining machine learning models
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Awesome-Federated-Learning-on-Graph-and-Tabular-Data
Federated learning on graph and tabular data related papers, frameworks, and datasets.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
bert
TensorFlow code and pre-trained models for BERT
bert-chinese-ner
使用预训练语言模型BERT做中文NER
zhanghuiyong's Repositories
zhanghuiyong/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
zhanghuiyong/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
zhanghuiyong/Awesome-Federated-Learning-on-Graph-and-Tabular-Data
Federated learning on graph and tabular data related papers, frameworks, and datasets.
zhanghuiyong/causalml
Uplift modeling and causal inference with machine learning algorithms
zhanghuiyong/ChatLaw
中文法律大模型
zhanghuiyong/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
zhanghuiyong/CogVLM
a state-of-the-art-level open visual language model | 多模态预训练模型
zhanghuiyong/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
zhanghuiyong/DeepLearning-1
深度学习入门教程, 优秀文章, Deep Learning Tutorial
zhanghuiyong/DeepLearningSystem
Deep Learning System core principles introduction.
zhanghuiyong/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
zhanghuiyong/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
zhanghuiyong/fast-crud
面向配置的crud框架，开发crud 快如闪电，超级表格；Options-oriented crud framework, develop crud as fast as lightning；based on vue3；super table
zhanghuiyong/fastapi-mysql-generator
FastAPI + MySQL Web项目生成器 ，个人认为较为合理的项目组织结构；基于apscheduler的定时任务。
zhanghuiyong/FATE-LLM
Federated Learning for LLMs.
zhanghuiyong/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
zhanghuiyong/LLaMA-Factory
Unify Efficient Fine-tuning of 100+ LLMs
zhanghuiyong/Markdown-Templates
Templates for creating scientific, academic and technical documents using Markdown and Pandoc that support equations, code blocks, citations, Unicode symbols and vector graphics.
zhanghuiyong/MDTips
zhanghuiyong/Microsoft-Activation-Scripts
A Windows and Office activator using HWID / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
zhanghuiyong/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
zhanghuiyong/npc
zhanghuiyong/OCR-Corrector
利用语言模型，纠正OCR识别错误
zhanghuiyong/oi
CSP-J/S, NOIP, 信息学奥林匹克竞赛真题收录
zhanghuiyong/Plug-and-Play
深度学习中各种即插即用小模块
zhanghuiyong/Python
All Algorithms implemented in Python
zhanghuiyong/seminar_multimodal_dl
https://slds-lmu.github.io/seminar_multimodal_dl/
zhanghuiyong/study-book
电子书存档
zhanghuiyong/swarm-learning
A simplified library for decentralized, privacy preserving machine learning
zhanghuiyong/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.