bonmaklad's repositories
Applicant_Tracking_System
This streamlitapp is built for employers looking to match best candidate resumes against a particular job description.
ATS_NLP_BERT
BERT model for NLU of resume and jobs texts in Applicant Tracking Systems
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
blackbird
Blackbird Bitcoin Arbitrage: a long/short market-neutral strategy
gatsby-starter-portfolio-cara
Playful and Colorful One-Page portfolio featuring Parallax effects and animations. Especially designers and/or photographers will love this theme! Built with MDX and Theme UI.
gatsby-woocommerce-themes
⚡ A Gatsby Theme for WooCommerce E-commerce site Gatsby WooCommerce WordPress
lambda-websocket-server
How to build a chat using Lambda + WebSocket + API Gateway? (nodejs)
machinelearning
Machine learning and artificial intelligence
Naive-Resume-Matching
Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Personality_BERT
Personality prediction of a person based on a sentence it might be tweet , self Introduction in resume.
Reasume-Project-with-NER-and-NLP-Bert-model
This project contains of two models, the first one is NER model "bert-base-cased" for recognize skills from resume and the second model is classification for classify the job title according to the recognized skills.
resumatch
Web app to extract keyphrases from a job description using NLP and score a resume. Uses Python/FastAPI for the backend and Vue for the frontend.
Resume-Classification-using-fine-tuned-BERT
Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.
Resume-Rater
Rates the quality of a candidate based on his/her resume using unsupervised approaches
Resume_parser_using_deep_learning
Resume parser with ner using state of art in deep learning with transformers specifically bert.
successful-algorithmic-trading
the book with script
surgenew
new surge
trading-server
A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously with unified risk management and reporting. Uses MongoDB for storage and Telegram for user notifications/trade consent.