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In this YOLOX Object Detection Tutorial, You will get YOLOX working in Google Colab using a FREE GPU, on Images and Video. We be programming all of this using Python and OpenCV
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Learn how to develop and deploy a fake news detection with Google Colab. Develop fake and real news detection data science projects with just your internet browser
This project is for anyone who wants to develop Data science and Machine learning projects but having limited resources on his computer and limited time. In this tutorial, you will learn how to develop and deploy a fake news detection data science project!
In essence, you will learn,
- how to design a real life data science project
- how to get data to train a machine learning model
- how to clean and preprocess your data
- how to create and train a model to learn from your data
- how to evaluate the performance of the trained model
- and finally, how to deploy the model in any real-life application of your choice.
According to wikipedia,
"Google Colaboratory (also known as Colab) is a free Jupyter notebook environment that runs in the cloud and stores its notebooks on Google Drive. Colab was originally an internal Google project; an attempt was made to open source all the code and work more directly upstream, leading to the development of the "Open in Colab" Google Chrome extension, but this eventually ended, and Colab development continued internally. As of October 2019, the Colaboratory UI only allows for the creation of notebooks with Python 2 and Python 3 kernels; however, an existing notebook whose kernelspec is IR or Swift will also work, since both R and Swift are installed in the container. Julia language can also work on Colab (with e.g. Python and GPUs; Google's tensor processing units also work with Julia on Colab."
#datascience #colab #python
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How to run Streamlit App on Google Colab without Ngrok or any other dependency? Your solution is to use localtunnel - a free opensource npm library. Step by Step Guide.
localtunnel - https://github.com/localtunnel/localtunnel
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Google colab is a free jupyter notebook environment that runs entirely in cloud. Anyone with access to internet can use it to write and execute python codes. It also provides free access to gpus.
In this video we will learn
1. How to setup colab for ML projects.
2. How to run and execute our code.
3. How to connect to gpus.
4. Different functionalities provided by colab.
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In this NLP Tutorial, We're looking at a new Hugging Face Library "accelerate" that can help you port your existing Pytorch Training Script to a Multi-GPU TPU Machine with quite lesser change to your code. As the description says, "🤗 Accelerate was created for PyTorch users who like to write the training loop of PyTorch models but are reluctant to write and maintain the boilerplate code needed to use multi-GPUs/TPU/fp16.
🤗 Accelerate abstracts exactly and only the boilerplate code related to multi-GPUs/TPU/fp16 and leaves the rest of your code unchanged."
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In this Python tutorial, You'll learn how to create an ML web app that gives you AI-generated Blog Content. The model that's used is GPT-Neo from Eleuther AI which is a GPT-3 Alternative. GPT-Neo Model is used with Minimaxir's AiTextgen for text Generation. Gradio App is used for quickly creating a Web App UI for the AI Generated Blog Content.
Gradio App Github - https://github.com/gradio-app/gradio
GPT-Neo - https://github.com/EleutherAI/gpt-neo
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This Video Tutorial explains step-by-step guide of the Colab Notebook Hugging Face Notebook has put together to Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers. ASR - Automatic Speech Recognition. We demo with Hindi dataset from Mozilla Common Voice.
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In this Data Science Tutorial, You'll learn how to run Jupyter Lab on Google Colab (to leverage their GPU's and TPU's for Free for Data Science and Machine Learning). We use ColabCode and ngrok to set up a Jupyter Lab instance on a permanent ngrok URL. This also supports multi-device cross-session. To say, Use Laptop and Tablet / JupyterLab on iPad interchangeably. This Jupyter Lab comes with Python Kernel, R Kernel and Swift Kernel.
colabcode - https://github.com/abhishekkrthakur/colabcode
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In this Python Tutorial, We'll learn how to deploy ML Models from Google Colab with Sebastián RamÃrez's {FastAPI} and Abhishek Thakur's {colabcode} Python Libraries.
Packages -
FastAPI - https://github.com/tiangolo/fastapi
Colabcode - https://github.com/abhishekkrthakur/colabcode/
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In this Python Tutorial, We'll learn how to quickly temporarily deploy a Streamlit/Flask/Plotly Dash/Django Web App that's running on Colab and expose the URL using remoteit (ngrok alternative) using their Free Tier plan.
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In this tutorial, we'll learn How to Train A Model for Custom Object Detection using TensorFlow 1.x on Colab
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During the COVID crisis, we’ve highlighted practical applications that aid in our safety - this week we’ll introduce some machine learning concepts into that pursuit! Face masks have become a mandatory feature in many segments of society and in this workshop, we’ll show you how to build a simple CNN (convolutional neural network) model to automatically detect whether someone is wearing one.
For this purpose, we’ll use TensorFlow (in combination with Keras). TensorFlow is a free open-source library developed by the Google team for data flow and symbolic math. Its prime application in practice has been neural network creation. In this session, we’ll be training and deploying our model to automatically process and classify visual input according to our criteria.
GitHub Link: https://github.com/The-Assembly/Build-A-Face-Mask-Detector-With-TensorFlow
#tensorflow #datascience #machinelearning #neuralnetwork #Python #colab
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In this short R tutorial, You'll learn how to launch a Google Colab instance that'll let you code using R programming language. Like Python, R is quite popular in the data science community and the ability to code with with R on Google Colab is really amazing since Google Colab really democratizes coding by letting anyone use a powerful computer just through browser (and internet of course)
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In this YOLOR Object Detection Tutorial, You will get YOLOR working in Google Colab using a FREE GPU, on Images and Video. YOLOR stands for (You Only Learn One Representation) and is better and faster than YOLOv4, YOLOv5 etc.
Download the Code at the AI Vision Store - https://augmentedstartups.info/VisionStore
#opencv #Python #colab
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There's 4 problems that you'll encounter when training AI Computer Vision Models like YOLOR, YOLOv4, YOLOv5 in Google Colab.