星火计划-做AI领域的独家，所有文章旨在技术传播和交流学习，非商业用途。

A resource for everyone, who wants study about AI

DeepFlows is a lightweight deep learning framework for teaching and experimentation. It includes tensor encapsulation, automatic differentiation, backend abstraction, common neural network modules and optimizers, as well as some example training scripts and service modules.

NKU_2022Fall Python language programming project. 虚假新闻检测项目，分别使用机器学习、深度学习和bert方法完成任务

Minimalistic Multiple Layer Neural Network from Scratch in Python.

The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language processing, our model achieved a high accuracy of 96.61%. The model was trained on Twitter data and tested on a data comment dataset from Binance.

The best chats with artificial intelligence

No description provided.

A desktop application dedicated to psychotherapy and personal development

Project on Automated Detection of Hazards for Space Apps Challenge 2020

No description provided.

I have developed a project using a CNN model to detect diseases in three plants: potato, tomato, and pepper. Despite limited resources, I trained separate models for each disease and successfully integrated them into a Streamlit app. The accuracy achieved on these three plants is remarkably high.

Predict 8 future numbers with 800 numbered data artificial intelligence deep learning

삼성멀티캠퍼스 데이터 분석 심화과정

This project is a technology demonstrator for performing English to Hindi translation on images using OCR using pre-trained model

AI-powered image captioning using InceptionV3+LSTM and ViT-GPT2 models. Trained on Flickr8k dataset with interactive Streamlit interface.

Welcome to the DL Projects Repository! This repository hosts a collection of my deep learning projects, showcasing my expertise and contributions in various domains of deep learning. Each project focuses on solving unique challenges using cutting-edge deep learning techniques and architectures.

NemaDataSet containing 3,063 microscopic images of the five species of phytonematodes with the greatest damage relevance to soybean crops.

=0学习笔记

🔍 A deep learning project utilizing YOLOv5 for real-time object detection

Implement A deep neural from scratch in CPP.

Video captures a cross-section of our society. And major advances in analyzing and understanding video have the potential to touch all aspects of life from learning and communication to entertainment and play.

Augmented Synthetic Data-set for Deep Learning in C++

this is the a ptato disease detection model that recognize the image and tell condition of disease on that plant based on model

MIT Deep Learning Book by Ian Goodfellow, Yoshua Bengio and Aaron Courville. in PDF format (complete)

No description provided.

基于Resnet101, 微调, 完成图像检索任务

Project using depp learning to train computer to play Space Invaders