JoelBurdick - Revision history

Jwb: /* Other Approaches */

2023-03-23T05:55:59Z

‎Other Approaches

Jwb: /* Misc. */

2023-03-23T05:54:28Z

‎Misc.

Jwb: /* Imaging Stuff */

2023-01-31T06:21:50Z

‎Imaging Stuff

Jwb: /* Time Series */

2023-01-31T01:50:21Z

‎Time Series

Jwb: /* Imaging Stuff */

2023-01-19T02:23:26Z

‎Imaging Stuff

Jwb: /* Vision/Graphics */

2023-01-19T02:18:02Z

‎Vision/Graphics

Jwb: /* AutoEncoders */

2023-01-10T03:46:56Z

‎AutoEncoders

Jwb: /* Conformal Prediction/Regression/Anamoly */

2023-01-04T06:44:02Z

‎Conformal Prediction/Regression/Anamoly

Jwb: /* Imaging Stuff */

2022-12-06T02:26:51Z

‎Imaging Stuff

Jwb: /* Imaging Stuff */

2022-12-06T02:25:58Z

‎Imaging Stuff

← Older revision		Revision as of 05:55, 23 March 2023
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	* '''Time Series:''' [https://stumpy.readthedocs.io/en/latest/Tutorial_STUMPY_Basics.html Stumpy]		* '''Time Series:''' [https://stumpy.readthedocs.io/en/latest/Tutorial_STUMPY_Basics.html Stumpy]
		+
		+	==== NLS ====
		+	* [http://ceres-solver.org/ Ceres NLS solver]; [https://www.gnu.org/software/gsl/doc/html/nls.html GNU NLS Solver];

	==== Other Approaches ====		==== Other Approaches ====

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 * [https://www.amazon.com/dp/B07N137XQN?tag=track-ect-usa-1189084-20&linkCode=osi&th=1  SuperHandy Chipper/Shredder/Mulcher]; [https://www.homedepot.com/p/Brush-Master-3-in-11-HP-270cc-Gas-Powered-Self-Feed-Chipper-Shredder-with-Unique-Innovation-3-in-1-Discharge-Safety-Goggles-CH8M21/316465452 Brush Master 3 inch]
+|
 ==== Walking Frame Ideas ====

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 * '''Vision:'''
-** '''YOLO Stuff:''' [https://medium.com/@pedroazevedo6/what-is-the-best-yolo-8526b53414af Which is the Best Yolo?]; [https://medium.com/@pedroazevedo6/from-yolo-to-yolov4-3dcba691d96a From Yolo to Yolo4];  [https://medium.com/@ANAI-DemocratizingAI/yolov6-explained-in-simple-terms-c46a0248bddc Yolo 6]; [https://medium.com/@asmitasinha/yolact-real-time-instance-segmentation-1-af0c27ee0bbc YOLACT object detection/segmentation]; [https://github.com/jinfagang/yolov7 Yolo 7 git]; [https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623 Training Yolo7 on custom data]; [https://medium.com/codex/imvotenet-paper-review-and-code-analysis-bf103117b32e ImVoteNet]; [https://syncedreview.com/2022/07/12/academia-sinicas-yolov7-outperforms-all-object-detectors-reduces-costs-by-50/   Yolo 7]; [https://amalaj7.medium.com/yolov7-now-outperforms-all-known-object-detectors-fd7170e8542d YoloV7 is best]; [https://medium.com/augmented-startups/train-yolov7-segmentation-on-custom-data-b91237bd2a29 Custom Data Training]; [https://medium.com/augmented-startups/yolov8-the-future-of-object-detection-is-here-5ab65c3f9975 Yolo V8]
+** '''YOLO Stuff:''' [https://medium.com/@pedroazevedo6/what-is-the-best-yolo-8526b53414af Which is the Best Yolo?]; [https://medium.com/@pedroazevedo6/from-yolo-to-yolov4-3dcba691d96a From Yolo to Yolo4];  [https://medium.com/@ANAI-DemocratizingAI/yolov6-explained-in-simple-terms-c46a0248bddc Yolo 6]; [https://medium.com/@asmitasinha/yolact-real-time-instance-segmentation-1-af0c27ee0bbc YOLACT object detection/segmentation]; [https://github.com/jinfagang/yolov7 Yolo 7 git]; [https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623 Training Yolo7 on custom data]; [https://medium.com/codex/imvotenet-paper-review-and-code-analysis-bf103117b32e ImVoteNet]; [https://syncedreview.com/2022/07/12/academia-sinicas-yolov7-outperforms-all-object-detectors-reduces-costs-by-50/   Yolo 7]; [https://amalaj7.medium.com/yolov7-now-outperforms-all-known-object-detectors-fd7170e8542d YoloV7 is best]; [https://medium.com/augmented-startups/train-yolov7-segmentation-on-custom-data-b91237bd2a29 Custom Data Training]; [https://medium.com/augmented-startups/yolov8-the-future-of-object-detection-is-here-5ab65c3f9975 Yolo V8]; [https://medium.com/mlearning-ai/yolo-v8-the-real-state-of-the-art-eda6c86a1b90 Yolo V8!];
 ** '''Segmentation:''' [https://arxiv.org/abs/1904.02689 Yolact: Real-Time INstance Segmentation]; [https://arxiv.org/abs/2003.10152 SoloV2: Dynamic Fast Instance Segmentation] [https://medium.com/datatonic/computer-vision-deploying-image-segmentation-models-on-vertex-ai-e51ca67a7ed4 Image Segmentation on Vertex AI]; [https://pub.towardsai.net/build-a-semantic-segmentation-model-with-one-line-of-code-32b6eab0cb81 Best One-Line Image Segmentation Library]
 ** '''Object Detection/Tracking:''' [https://medium.com/@pedroazevedo6/object-tracking-state-of-the-art-2022-fe9457b77382 SOTA Object Tracking]; [https://medium.com/axinc-ai/detic-object-detection-and-segmentation-of-21k-classes-with-high-accuracy-49cba412b7d4 DETIC (object detection and segmentation)]; [https://medium.com/codex/improve-the-performance-of-your-object-detection-model-54a94f374636 Improve Object Detection]; [https://medium.com/oxford-semantic-technologies/machine-learning-and-semantic-reasoning-the-perfect-union-using-object-detection-with-rdfox-2b291267d893 RDFox Semantic Segmentation, Object Detection]

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 * [https://hci.stanford.edu/courses/cs335/2020/sp/lec3.pdf On-line Lecture Fair AI]; [https://medium.com/geekculture/explainable-defect-detection-using-convolutional-neural-networks-case-study-2b58bc17c8b1 Explainable Defect Detection]
+|
 ==== Time Series ====

@@ Line 719: / Line 719: @@
 * '''Vision:'''
-** '''YOLO Stuff:''' [https://medium.com/@pedroazevedo6/what-is-the-best-yolo-8526b53414af Which is the Best Yolo?]; [https://medium.com/@pedroazevedo6/from-yolo-to-yolov4-3dcba691d96a From Yolo to Yolo4];  [https://medium.com/@ANAI-DemocratizingAI/yolov6-explained-in-simple-terms-c46a0248bddc Yolo 6]; [https://medium.com/@asmitasinha/yolact-real-time-instance-segmentation-1-af0c27ee0bbc YOLACT object detection/segmentation]; [https://github.com/jinfagang/yolov7 Yolo 7 git]; [https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623 Training Yolo7 on custom data]; [https://medium.com/codex/imvotenet-paper-review-and-code-analysis-bf103117b32e ImVoteNet]; [https://syncedreview.com/2022/07/12/academia-sinicas-yolov7-outperforms-all-object-detectors-reduces-costs-by-50/   Yolo 7]; [https://amalaj7.medium.com/yolov7-now-outperforms-all-known-object-detectors-fd7170e8542d YoloV7 is best]; [https://medium.com/augmented-startups/train-yolov7-segmentation-on-custom-data-b91237bd2a29 Custom Data Training]
+** '''YOLO Stuff:''' [https://medium.com/@pedroazevedo6/what-is-the-best-yolo-8526b53414af Which is the Best Yolo?]; [https://medium.com/@pedroazevedo6/from-yolo-to-yolov4-3dcba691d96a From Yolo to Yolo4];  [https://medium.com/@ANAI-DemocratizingAI/yolov6-explained-in-simple-terms-c46a0248bddc Yolo 6]; [https://medium.com/@asmitasinha/yolact-real-time-instance-segmentation-1-af0c27ee0bbc YOLACT object detection/segmentation]; [https://github.com/jinfagang/yolov7 Yolo 7 git]; [https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623 Training Yolo7 on custom data]; [https://medium.com/codex/imvotenet-paper-review-and-code-analysis-bf103117b32e ImVoteNet]; [https://syncedreview.com/2022/07/12/academia-sinicas-yolov7-outperforms-all-object-detectors-reduces-costs-by-50/   Yolo 7]; [https://amalaj7.medium.com/yolov7-now-outperforms-all-known-object-detectors-fd7170e8542d YoloV7 is best]; [https://medium.com/augmented-startups/train-yolov7-segmentation-on-custom-data-b91237bd2a29 Custom Data Training]; [https://medium.com/augmented-startups/yolov8-the-future-of-object-detection-is-here-5ab65c3f9975 Yolo V8]
 ** '''Segmentation:''' [https://arxiv.org/abs/1904.02689 Yolact: Real-Time INstance Segmentation]; [https://arxiv.org/abs/2003.10152 SoloV2: Dynamic Fast Instance Segmentation] [https://medium.com/datatonic/computer-vision-deploying-image-segmentation-models-on-vertex-ai-e51ca67a7ed4 Image Segmentation on Vertex AI]; [https://pub.towardsai.net/build-a-semantic-segmentation-model-with-one-line-of-code-32b6eab0cb81 Best One-Line Image Segmentation Library]
 ** '''Object Detection/Tracking:''' [https://medium.com/@pedroazevedo6/object-tracking-state-of-the-art-2022-fe9457b77382 SOTA Object Tracking]; [https://medium.com/axinc-ai/detic-object-detection-and-segmentation-of-21k-classes-with-high-accuracy-49cba412b7d4 DETIC (object detection and segmentation)]; [https://medium.com/codex/improve-the-performance-of-your-object-detection-model-54a94f374636 Improve Object Detection]; [https://medium.com/oxford-semantic-technologies/machine-learning-and-semantic-reasoning-the-perfect-union-using-object-detection-with-rdfox-2b291267d893 RDFox Semantic Segmentation, Object Detection]

@@ Line 482: / Line 482: @@
 * [http://www.dagstuhl.de/ Shloss Dagstuhul] (Liebniz Center for INformatics--Seminar Program);
 ==== Vision/Graphics ====
 * '''U-Net:''' [https://medium.com/@mlquest0/unet-clearly-explained-a-better-image-segmentation-architecture-f48661c92df9 U-Net ++]; [https://solomon-ai.medium.com/image-segmentation-for-self-driving-car-using-unet-canet-72eab7d424c8 U-NET/CatNet]; [https://medium.com/@mlquest0/transunet-no-more-cnns-for-image-segmentation-278e85c81914 TransUNet]
 * [https://medium.com/mlearning-ai/various-computer-vision-architectures-whats-the-difference-db123df23865 Various Vision Architectures]; [https://idiotdeveloper.com/what-is-resunet/ RESUNET]

@@ Line 305: / Line 305: @@
 ==== AutoEncoders ====
 * [https://medium.com/@j.zh/mathematics-behind-variational-autoencoders-c69297301957 Math behind variational autoencoders]; [https://blog.devgenius.io/semi-supervised-learning-with-autoencoders-33f36305e816 Semi-Supervised Learning via Autoencoders]
 ==== Gauusian Processes ====

@@ Line 332: / Line 332: @@
 * [https://github.com/yromano/cqr Conformalized QUantile Regression (GitHub)];[https://github.com/numenta/NAB/tree/master/nab/detectors/knncad Conformal Anamoly Detection (GitHub)]; [https://github.com/ryantibs/conformal/ Conformal Inference R Project]; [https://github.com/donlnz/nonconformist Nonconformist: Python CP];
-* [https://mapie.readthedocs.io/en/latest/index.html  Mapie]
+* [https://mapie.readthedocs.io/en/latest/index.html  Mapie]; [https://towardsdatascience.com/conformal-prediction-in-julia-351b81309e30 Conformal Prediction in Julia]
 * '''Tutorial:''' [https://medium.com/analytics-vidhya/a-guideline-to-conformal-prediction-7a392fc29bc1#:~:text=A%20conformity%20score(%E2%88%9D)%20is,is%20non%2Dconforming%20or%20strange. A Guideline to CP]; [https://medium.com/@jchen001/8-anomaly-detection-techniques-summary-comparison-and-code-83a25cc27c66 8 Anomaly Detection Methods]