ModelNet40-C
yolo-tf2
| ModelNet40-C | yolo-tf2 | |
|---|---|---|
| 2 | 1 | |
| 202 | 747 | |
| - | - | |
| 0.0 | 7.6 | |
| 8 months ago | almost 2 years ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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ModelNet40-C
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[R] NEW Robustness Benchmark for 3D Point Cloud Recognition, ModelNet40-C. "Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions"
Code for https://arxiv.org/abs/2201.12296 found: https://github.com/jiachens/ModelNet40-C
yolo-tf2
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How to write a resume for python / ML jobs?
my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...
What are some alternatives?
ronin - RoNIN: Robust Neural Inertial Navigation in the Wild
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
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.
torchio - Medical imaging toolkit for deep learning
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
tapnet - Tracking Any Point (TAP)
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
natural-adv-examples - A Harder ImageNet Test Set (CVPR 2021)
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀