✳flâneur — a map of the web's best reading
david8862/keras-YOLOv3-model-set: end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
github.com · 2,774 words · saved by 1 readers
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
Explore this link on the map →saved by
related reading
- GitHub - Masao-Taketani/FOTS_OCR: TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network. · GitHubgithub.com
- GitHub - xingyizhou/ExtremeNet: Bottom-up Object Detection by Grouping Extreme and Center Points · GitHubgithub.com
- practical-ml-vision-book/09_deploying/09e_tflite.ipynb at master · GoogleCloudPlatform/practical-ml-vision-book · GitHubgithub.com
- tensorflow/tensorflow/lite/g3doc/r1/convert/python_api.md at master · tensorflow/tensorflow · GitHubgithub.com
- LLM Visualizationbbycroft.net
- pytorch-image-models/timm/models/vision_transformer.py at main · huggingface/pytorch-image-models · GitHubgithub.com
- GitHub - ml5js/training-styletransfer: Style Transfer training and using the model in ml5js · GitHubgithub.com
- GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models. · GitHubgithub.com
- Replicate - Run AI with an APIreplicate.com
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4. · GitHubgithub.com
- MakeAImakeai.org
- ML Contestsmlcontests.com