a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。

A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

Demonstrates knowledge distillation for image-based models in Keras.

Efficient in-memory representation for ONNX, in Python

Learn linear quantization techniques using the Quanto library and downcasting methods with the Transformers library to compress and optimize generative AI models effectively.

4Geeks Academy data science boot camp tree based methods assignment

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise.

DA2Lite is an automated model compression toolkit for PyTorch.

Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights for targeted customer retention.

This repository includes code for the paper "Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks" published in IEEE TCOM, focusing on autonomous cybersecurity (physical-layer authentication and cross-layer intrusion detection) using AutoML techniques.

本仓库包含了完整的深度学习应用开发流程，以经典的手写字符识别为例，基于LeNet网络构建。推理部分使用torch、onnxruntime以及openvino框架💖

An AI-powered resume evaluation system using BERT regression to deliver consistent, bias-reduced scoring

Enhanced BR2804-1700KV Motor Field Oriented Control with a Tiny Neural Network

Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)

This is an End to End project designed to model a solution on Spain electricity shortfall challenges and make future prediction.

Hands-on course materials for ML engineers to implement and optimize Mixture of Experts models: PyTorch, transformers (educational)

Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs

Model quantization techniques for efficient LLM inference. Experiments with INT8, INT4, and mixed-precision quantization.