This repository helps you understand python from the scratch.
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Updated
Jun 5, 2024 - Jupyter Notebook
This repository helps you understand python from the scratch.
📚💻🎯I explore various technologies such as Java, Kotlin, Python, TensorFlow, OpenCV, and C++. Feel free to connect with me on LinkedIn to discuss collaboration or share insights!
Text to speech (TTS) using RVC & edge-tts
A curated space for storing and managing AI notes, configurations, notebooks, and similar items for personal use
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Python package to apply the Safety Checker from Stable Diffusion.
Skripsi Prediksi Harga Saham Menggunakan Deep Learning LSTM oleh Gesang Paudra Jaya
Steganography is for hiding text in the image without changeing image look with openCV and Numpy Library
Module 22 challenge: Using Google Colab to work on Big Data queries with PySpark SQL, parquet, and cache partitions
A simpler (and working) notebook and repo for convinient use of YOLO-NAS-POSE, a human pose estimation model by Deci AI. Aims to run in a less resource intensive manner, by eliminating real-time capture and playback, and instead reading from and writing to permanent image and video files.
Protótipo de busca de pets das enchentes no Rio Grande do Sul, utilizando o modelo de IA Gemini do Google.
Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.
Colab notebook for Stable Diffusion Hyper-SDXL.
Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).
Implementing computer vision fundamentals with the famous MNIST data.
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
🥇서울여자대학교 졸업 프로젝트 최우수상 수상작(2022.12.21)🥇
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