machine-learning-for-trading
SynthDet
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| machine-learning-for-trading | SynthDet | |
|---|---|---|
| 224 | 3 | |
| 11,797 | 350 | |
| - | 0.9% | |
| 1.1 | 2.9 | |
| 10 months ago | 10 months ago | |
| Jupyter Notebook | C# | |
| - | Apache License 2.0 |
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machine-learning-for-trading
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
- How to backtest common strategy / filters in bulk?
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10565.0
SynthDet
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Looking for 3D food packaging assets
Didn't try but Unity did a object recognition project with store products: https://github.com/Unity-Technologies/SynthDet. You can find the models and texture in the "Assets/Foreground Objects" folder. And you may need to check the license depending on your usage.
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How to generate images and labels using unity (or other game engine) to train YOLO5 object detection model? (Synthetic Data generation using unity for neural network learning). Are there any existing solutions or guides?
This is probably what you're looking for . https://github.com/Unity-Technologies/SynthDet
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Imported materials for objects can't edit.
So I'm working on Unity with this Project (SynthDet) https://github.com/Unity-Technologies/SynthDet and I'm working on imported objects (obj. ), trying to edit materials of those objects, but I can't. The materials are gredy out. Don't know what to do. Do you guys have any ideas what to do, to allow to edit imported materials?
What are some alternatives?
SDV - Synthetic data generation for tabular data
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
make-sense - Free to use online tool for labelling photos. https://makesense.ai
TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)