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Alpha Strats
Tech for stratsAnnotation
AR XR
Attention Modeling in Stores
C++ CV
Camera
CMS CV
Content Creation
CV Cyborg
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Working with image and video dataCV Frontier
CV Model Dev
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Pannacotta 2023
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🦜🔗 Build context-aware reasoning applications
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
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 l…
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
📚 Jupyter notebook tutorials for OpenVINO™
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
🦘 Explore multimedia datasets at scale
Modern Computer Vision with PyTorch, published by Packt
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Learn to build and deploy AI apps.
PyTorch Computer Vision Cookbook, Published by Packt
create sankey diagrams with matplotlib
Variational Autoencoder in the mel-spectrogram domain for one-shot audio synthesis
Code for the CVPRW GAZE 2021 paper -- GOO : A Dataset for Gaze Object Prediction in Retail Environments
This code example shows how to make a chatbot for semantic search over documents using Streamlit, LangChain, and various vector databases. The chatbot lets users ask questions and get answers from …
Emotion detection using openCV
Extract face landmarks using Dlib and train a multi-class SVM classifier to recognize facial expressions (emotions).
A sample Streamlit web application for summarizing documents using LangChain and Chroma.
Machine learning models that detect emotion and sentiments through Text, Audio and Image/Video using Scikit-Learn Library.
Detects emotion from images and webcame using littlevgg