Highway to Hole
URL: https://github.com/DumDereDum/Highway2Hole
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Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
URL: https://github.com/DumDereDum/Highway2Hole
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URL: https://github.com/Acchindra/OpenVINO-RecipeRec
AI-Enabled Shopping Cart Assistant that suggest recipes to shoppers as they shop and add items to their cart
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URL: https://github.com/jojo96/intel-openvino-colab
The OpenVINO distribution from Intel makes AI inferencing fast and easy. This tutorial would teach you how to test the power of OpenVINO
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URL: https://github.com/arrayfire/arrayfire
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. This project is to develop a oneAPI backend to the library, which currently supports CUDA, OpenCL, and x86.
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URL: https://github.com/AMLResearchProject/ALL-Jetson-Nano-Classifier
The Acute Lymphoblastic Leukemia Jetson Nano Classifier is a Convolutional Neural Network developed using Intel® oneAPI AI Analytics Toolkit & Intel® Optimization for Tensorflow* on an Intel® NUC NUC7i7BNH to accelerate training, and TensorRT for high performance inference on NVIDIA® Jetson Nano.
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URL: https://github.com/lavish619/AR-Sudoku-Solver-Pytorch-OpenCV
An Augmented Reality based Sudoku Solver System to solve the sudoku puzzle and projecting the solved puzzle back on the image.
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URL: https://github.com/gohil-jay/Python-Workshop/tree/main/Time%20Series%20Prediction
An AI model that predicts stocks' value with multivariate input!
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URL: https://github.com/gohil-jay/Relevel-Data-Analytics
A rigorous Data Analytics project alongwith presentation!
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URL: https://github.com/gohil-jay/Python-Workshop/tree/main/Instagram%20Post%20Prediction
An AI model that predicts number of Instagram likes based on multivariate inputes!
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URL: https://github.com/gohil-jay/TSF-Internship/tree/main/Task-6
A DT model for classification on multivariate input!
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URL: https://jupyter.oneapi.devcloud.intel.com/user/u78961/lab
Build a binary classifier to categorize the tweets in the training data as a 1. Disaster/Attack/Calamity with potential loss of Life and property 2. Tweets unrelated to loss of life and property 3. Create a function which can take a tweet as input and classify it
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URL: https://github.com/Nitin-Mane/Computer-Pointer-Controller
the task is based on a gaze detection model to control the mouse pointer of the computer. The module state on the Intel model usage and will be applying the Gaze Estimation model to estimate the gaze of the user's eyes and change the mouse pointer position accordingly. This project will demonstrate
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URL: https://github.com/Nitin-Mane/Smart-Queuing-System
A smart IoT queue system for the retailer and transportation system on the edge device. The proposed project examines the job profile on the device as a video AI solution on the edge using Intel® hardware and software tools. The app detects people in a specified area and accordingly detects.
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URL: https://github.com/aiial/all-detection-system-for-magic-leap-1
Combines Magic Leap's Spacial Computing technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Mixed Reality environment.
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URL: https://github.com/cj-mills/Unity-OpenVINO-Plugin
This project demonstrates how to create a native plugin for Unity that leverages the OpenVINO™ Toolkit.
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URL: https://github.com/hardlyhuman/DL4Fun/tree/master/cppn-tensorflow
Compositional Pattern Producing Network
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URL: https://github.com/hardlyhuman/MaPy
An application that converts Matlab code to Python code
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URL: https://github.com/naralakamsani/Fake-face-detector
Load and preprocess the dataset of fake and real images. Train the image classifier on the dataset of fake and real images. Use the trained classifier to predict if an image of a face was created by AI, or a photo taken of a real person.
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URL: https://github.com/esalcort/importance_retrain.git
Some supervised learning tasks require continually re-training models. In this project, I explore different alternatives to minimize the re-training costs with the purpose of deploying deep learning model retraining on resource-constrained platforms.
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URL: https://drive.google.com/drive/folders/14w8VrzyYVGhFVz5fRPSy8sDh8j0uJinr?usp=sharing
COVID 19 has made a lot of changes in the way we are working every day. Almost everyone is working from home and meetings all happen over platforms like MS Teams, Zoom, or Google meet. Marking the minutes of the meeting is a very important component in any meetings and we make it easier.
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