Stars
Simple, unified interface to multiple Generative AI providers
Provide an input CSV and a target field to predict, generate a model + code to run it.
parallel-selenium_dynamic_web-scraping
Machine learning and artificial intelligence
kennethkenneth / AuthorExtractor
Forked from dalab/web2textSource code for the Medium article "Extracting the author of news stories with DOM-based segmentation and BERT"
Highly scalable webcrawler for towardsdatascience.com by using Python, Selenium, Docker, Kubernetes and the infrastructure of the Google Cloud Platform
A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Deep neural network to extract intelligent information from invoice documents.
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Scene text detection and recognition based on Extremal Region(ER)
Build your own document scanner with OpenCV Python
vigneshprajapati / word2vec-from-scratch-with-python
Forked from nathanrooy/word2vec-from-scratch-with-pythonA very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python
🍔 An off-canvas sidebar Vue component - https://vue-burger-menu.netlify.app/
Infinite scroll component for Vue.js 2
starter/boilerplate flask application with celery, mongoengine, signals, shell commands, swagger api docs and sphinx docs integration
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Autocomplete - an adult and kid friendly exercise in creating a predictive program
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
surmenok / DeepSpell
Forked from MajorTal/DeepSpella Deep Learning based Speller
Simple keras chat bot using seq2seq model with Flask serving web
A chatbot based on recurrent neural networks (RNN). Encoder-decoder long short-term memory (LSTM) model has been used. Built with Keras (TensorFlow backened).
Kaggle's competition for using Google's word2vec package for sentiment analysis
A Python framework for managing Dataproc cluster and Scheduling PySpark Jobs over it. Additionally it provides docker based development for debugging PySpark jobs.
A TensorFlow recommendation algorithm and framework in Python.
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
A List of Recommender Systems and Resources
vigneshprajapati / fastai_notes
Forked from binga/fastai_notesMy classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2) October 2017 cohort.