Generative AI SDK for Web to create AI Agents for apps built with JavaScript, React, Angular, Vue, Ember, Electron
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Updated
Oct 23, 2024
Generative AI SDK for Web to create AI Agents for apps built with JavaScript, React, Angular, Vue, Ember, Electron
How to initialize Anchors in Faster RCNN for custom dataset?
Number detection implemented using TensorFlow with custom CNN architecture for fast inference and custom dataset
Code to mass download images from Google Images using JavaScript Console Window and python script.
Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the available tool, methods, repo, code etc to detect hallucination, LLM evaluation, grading and much more.
Custom keypoint detection using Tensorflow object detection API
Implement image classification in pytorch
PyTorch tutorial for computer vision
Pytorch implements yolov3.Good performance, easy to use, fast speed.
A chatbot based on OpenAI, suitable for enterprise privatized data fine-tuning. It can answer various questions related to enterprise products raised by users.
Make custom objects dataset and detect them using darkflow. Darkflow is a tensorflow translation of Darknet.
Yolov3_Tiny hardhat detection using Tensorflow
Combining Google Open Images with COCO-dataset weights and training a Mask R-CNN model to accurately create a instance mask for pumpkins ;)
In this repository, I aim at providing theoretical and practical notes for fully understanding Yolo models. Then, I show how to label a dataset which is downloaded from kaggle.com using makesense.ai to make it ready for training by yolo models
Make Custom ORB_SLAM2 RGB-D dataset with real sense camera
Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.
Part Grouping Network (PGN) implementation in TensorFlow, for custom parsing dataset
Using Keras MobileNet-v2 model with your custom images dataset
Use the following code to train any custom data set on YOLO. This can be even used by any beginner
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