The Self-Coding System for Your App — Alan AI SDK for Web
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.
Custom keypoint detection using Tensorflow object detection API
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.
Implement image classification in pytorch
A chatbot based on OpenAI, suitable for enterprise privatized data fine-tuning. It can answer various questions related to enterprise products raised by users.
Pytorch implements yolov3.Good performance, easy to use, fast speed.
PyTorch tutorial for computer vision
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 ;)
Make Custom ORB_SLAM2 RGB-D dataset with real sense camera
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
Project about developing a model that can detect multiple cards and identify their suit and rank. Includes multiple models, own created dataset, utility functions, presentations, research paper and live demo application. Course Deep Learning, FMI, 2024.
Part Grouping Network (PGN) implementation in TensorFlow, for custom parsing dataset
Training Yolov4 model on custom dataset poker cards reading in a Black Jack game and provide game suggestion.
Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.
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