learnopencv
Best_AI_paper_2020
| learnopencv | Best_AI_paper_2020 | |
|---|---|---|
| 6 | 29 | |
| 20,428 | 2,221 | |
| - | - | |
| 8.6 | 0.0 | |
| 3 days ago | over 2 years ago | |
| Jupyter Notebook | ||
| - | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
learnopencv
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YOLO-NAS Pose
Deci's YOLO-NAS Pose: Redefining Pose Estimation! Elevating healthcare, sports, tech, and robotics with precision and speed. Github link and blog link down below! Repo: https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS-Pose
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Bidirectional Encoder Representations from Transformers
Discover the transformative influence of BERT (Bidirectional-Encoder-Representations-from-Transformers) on Natural Language Processing! Repo: https://github.com/spmallick/learnopencv/tree/master/BERT-Bidirectional-Encoder-Representations-from-Transformers Read: https://learnopencv.com/bert-bidirectional-encoder-representations-from-transformers/
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Diving deeper into KerasCV!
Read: https://learnopencv.com/comparing-kerascv-yolov8-models/ Repo: https://github.com/spmallick/learnopencv/tree/master/Comparing-KerasCV-YOLOv8-Models-on-the-Global-Wheat-Data-2020
- write a program to convert RGB to HSV and LAB color space.
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Object detection with depth measurement using pre-trained models with OAK-D
Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth
- [Question] How does one get all available coordinates in a color marked contour?
Best_AI_paper_2020
- Looking for interesting machine learning papers to read over the weekend? Here is a curated list I made for 2020. (with video explanation, short read, paper, and code) - Stay tuned for 2021 at the end of December!
- [Research] Looking for interesting machine learning papers to read over the weekend? Here is a curated list I made for 2020. (with video explanation, short read, paper, and code) - Stay tuned for 2021 at the end of December!
- How to read more research papers? (tips & tools given)
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[Research][Project] The best AI papers of 2020 with a clear video demo, short read, paper, and code for each of them. Follow my progress in 2021!
The full list on GitHub: https://github.com/louisfb01/Best_AI_paper_2020
What are some alternatives?
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
mlreef - The collaboration workspace for Machine Learning
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.
awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
xojo-opencvc - Xojo-OpenCVC brings OpenCV 4.5+ to Xojo, using the OpenCV-C API
aws-mlu-explain - Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results
MetaSpore - A unified end-to-end machine intelligence platform
fastMONAI - Simplifying deep learning for medical imaging
PreferenceNet - PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning