FTL-TYUT

For the Learners AND To My Hustle-Fueled Odyssey Toward Graduate Studies

中文README

🔨 Active Development Notice
This repository is under continuous improvement. Recent updates include [Data Mining].Feel free to open an issue for suggestions!

AI Technology Codebase 🚀

🌟 Project Vision

A modular tech stack navigation for deep learning self-learners, implementing classical/cutting-edge models across seven core domains to build a closed-loop understanding from theory to practice.

Each project includes:

• 🧠 Model Architecture Analysis
• ⚡ Minimalist Implementation Code
• 📈 Training/Inference Scripts

Exclusions:

• 📚 Dataset Download Links (Competition/Undisclosed Data)
• 📦 Environment Configuration (Long-term Spanning Multiple Environments)

📂 Directory Structure

🔍 Data Mining

• Data Processing: Pandas/Seaborn/ydata-profiling
• Predictive Models:
  • EV Charging Demand Prediction (LightGBM/KFold/LSTM/ARIMA)
  • Li-ion Battery Temp Prediction (FNN/XGBoost/Stacking)
  • Quantum Chemistry Molecular Property Prediction (Joblib/TF-IDF/CatBoost)
• Classification:
  • Diabetes Risk Prediction (CatBoost)
  • CNS Drug Prediction (QSAR/LightGBM)

🤖 Machine Learning

• Regression:
  • House Price Prediction (Linear Regression)
  • Taiyuan Heating Prediction (SVR)
• Classification:
  • Titanic Survival Prediction (Decision Tree/Random Forest)
  • Advertisement Classification (PCA/XGBoost)
• Clustering:
  • Airline Customer Segmentation (KMeans/KMeans++/DBSCAN)
• Image Processing:
  • Image Denoising (Markov)

⏳ Time Series

• Financial:
  • Stock Prediction (LSTM/GRU)
  • Used Car Price Prediction (CNN-LSTM)
• Text Generation:
  • Acrostic Poetry Generation (LSTM)
  • Shakespeare-style Generation (LSTM)
• Environmental:
  • Weather Forecasting (BiLSTM)

📝 Natural Language Processing

• Pretrained Models:
  • Grammar Correction/Sentiment Analysis (BERT/HuggingFace)
• Traditional Methods:
  • Tweet Sentiment Recognition (n-gram)
  • Shakespeare Text Mining (Word2Vec)
• Classification:
  • News Categorization (ELMo)

👁️ Computer Vision

• Medical Imaging:
  • Brain PET Diagnosis (ResNet/VGG)
  • Skin Lesion Segmentation (UNet/UNet++)
• Object Detection:
  • Fire Detection (YOLOv5)
  • Infrared Small Target Detection (YOLOv8)
• Image Generation:
  • Fashion MNIST Inpainting (VAE)
  • Style Transfer (VGG)
• Other Model Analyses

🌐 Multimodal

• Cross-modal Retrieval:
  • Autonomous Driving Video Understanding (CLIP)
  • Image Search System (CLIP/Milvus)
• Generation:
  • Stable Diffusion Analysis (BLIP2)

🧠 LLMs

• Education:
  • AI Teaching Assistant (LangChain/RAG/CoT)
  • Paper Writing Assistant (LoRA/vLLM)
• Industry:
  • Digital Tourism (LazyGraphRAG/CogVideoX)
  • Tourism Recommendation (RAG/Tools)
  • Immersive Tourism RPG (MetaGPT)
• Optimization:
  • DeepSeek-R1 4090 Deployment (Unsloth/LoRA)
  • Llama2 from Scratch
• AIoT:
  • Smart Home (RAG/CoT/blockly)
• Model Analyses:
  • Qwen (Qwen2/Qwen2.5)
  • GPT (GPT1-4)
  • Llama (Llama3/Llava)
  • DeepSee (DeepSeek v3/DeepSeek R1)
  • Others

🧰 Others

• Generative Models:
  • CIFAR10 Training (Diffusion)
  • GAN Implementation
• Speech:
  • ChatTTS Generation
  • EchoMimic Deployment
• Graph Networks:
  • GCN Molecular Property Prediction

📜 LICENSE

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License