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

Custom keypoint detection using Tensorflow object detection API

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.

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Implement image classification in pytorch

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.

PyTorch tutorial for computer vision

Make custom objects dataset and detect them using darkflow. Darkflow is a tensorflow translation of Darknet.

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.

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 ;)

With this tool you can create custom TTS dataset from video or audio.

Make Custom ORB_SLAM2 RGB-D dataset with real sense camera

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.

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

Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.

A complete deep learning workflow for training and deploying custom object detection models using Ultralytics YOLOv8.

Building an image similarity system with 🤗, Custom Datasets and FAISS

Use the following code to train any custom data set on YOLO. This can be even used by any beginner

Detects motorcycles with more than two riders, helmet compliance, and mobile usage using YOLOv8, trained on a custom dataset of 6,000+ images.

Using Keras MobileNet-v2 model with your custom images dataset

This notebook demonstrates timeseries classification for crop identification on a subset of the MiniTimeMatch dataset by training an LSTM model.

Exploratory data analysis, flood prediction model implementation with the DFC 2024 Challenge Track 1 dataset

Transfer learning using Inception V3 for custom image classification dataset with TensorFlow and Keras

Training a model for Instance segmentation and object detection with MaskRCNN with TensorFlow on a custom selected dataset from the open image.