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26 search results found

Computer Vision In Action ⭐ 1,979

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-actio 👇项目主页

Machine Learning Experiments ⭐ 1,552

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Awesome Colab Notebooks ⭐ 1,093

Collection of google colaboratory notebooks for fast and easy experiments

Fast Pytorch ⭐ 299

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Burn Detection Classification ⭐ 275

Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model

Practicals 2019 ⭐ 233

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

Text2art ⭐ 190

AI-powered Text-to-Art Generator - Text2Art.com

Segment Anything With Clip ⭐ 175

Segment Anything combined with CLIP

Mevonai Speech Emotion Recognition ⭐ 112

Identify the emotion of multiple speakers in an Audio Segment

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

This repository holds the Google Colabs for the EdX TinyML Specialization

Courseware ⭐ 76

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

Insightsolver Colab ⭐ 62

InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

Seeingspace ⭐ 55

A lightfield botanist's guide to neural rendering

Openai Vision Api For Videos ⭐ 37

Extract information, summarize, ask questions, and search videos using OpenAI's Vision API 🚀🎦

Python_for_datascience ⭐ 31

[Video]Colab Notebooks for Python for Data Science by Pearson

Mnist_by_zip ⭐ 28

Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)

Arduino Library ⭐ 27

This repository holds the Arduino Library for the EdX TinyML Specialization

Tensorflow_basics ⭐ 23

Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.

Speech Emotion Recognition ⭐ 23

Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.

Python Notebooks ⭐ 18

All Jupyter and Colab Notebooks are here

Machine_learning ⭐ 17

Submission Machine Learning Dicoding. Tugas Dicoding. Project Dicoding

Ml_notebooks ⭐ 17

Collection of machine learning related notebooks to share.

Tflite Tester ⭐ 15

Example project showing how we can compare TensorFlow and TensorFlow Lite models

Keras Buoy ⭐ 13

Keras wrapper that autosaves what ModelCheckpoint cannot.

Mxnet Gluoncv Aws Coursera ⭐ 11

This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please 🌟 the repo if you like it ☝️ Create an Issue or preferably a PR for any improvement. 🚀

Colab2pdf ⭐ 9

Convert your Colab notebook to a PDF. One-minute install. Zero configuration.

Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.

Swift Datascience ⭐ 7

Electrical Devices Identification Model ⭐ 6

Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.

Myppsimulator ⭐ 6

[BeatSaber][ScoreSaber] Simulation tool for your ScoreSaber's Total PP.

Insect Detect Ml ⭐ 5

Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.

Archi_base ⭐ 5

A dataset creation tool to aggregate, sort and label large volumes of architectural imagery.

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