
Starred repositories
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Using TensorFlow to translate Sign Language.
Python based API service that performs "facial search" on a database of images.
The world's simplest facial recognition api for Python and the command line
Machine Learning project to recognise faces from an Image just like facebook or video stream
Marketing example for hotels that leverages the power of AI & RAG to help hotels reach out to their target audiences better.
An Ecommerce Site Project developed with Django Rest-Framework with Next JS (React JS )
C4GT aims to build active open-source community around DPGs for sustainable DPI implementations
Jewelry E-commerce Website for Jewelry selling online.
A simple Django-Channels web chat!
The Django-Ecommerce is an open-source project initiative and tutorial series built with Python and the Django Framework.
Facial Recognition Based Attendance System using Python, Tensorflow, Keras, SqlLite3, Tkinter, OpenCV
FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
Search Engine on Shopee apply Image Search, Full-text Search and Auto-complete
Real-Time Face Recognition use SCRFD, ArcFace, ByteTrack and Similarity Measure
When taking on a new patient, doctors need to be able to quickly ramp up on patient history. This repository contains experiments in visualizing patient journey records (PaJRs) with the goal of mak…
Next generation dynamic blogging tools, 100% run on Cloudflare.
Recon NER, Debug and correct annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality of your data.
neural network for named entity recongnition
Marathi NLP - is a repository dedicated to development of tools and resources for Marathi language.
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
simplejson is a simple, fast, extensible JSON encoder/decoder for Python
Simple python wrapper to convert HTML to PDF with headless Chrome via selenium