Stars
💫 Industrial-strength Natural Language Processing (NLP) in Python
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Neural network visualization toolkit for keras
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
Code for "Learning to Generate Reviews and Discovering Sentiment"
🐍🐳 Python module to manage Digital Ocean droplets
Python interface to Boilerpipe, Boilerplate Removal and Fulltext Extraction from HTML pages
A simple module to collect video, text, and metadata from Tiktok.
Train and deploy a cat vs dog image recognition model using TensorFlow
A Python implementation of Hierarchical Condition Categories
Hierarchical Models for Sentiment Analysis in Pytorch
Python code for detecting topics/events from a Twitter stream
python flask app serving as webhook for whatsapp business accounts making prompts to openai api
Memes Processing Pipeline that enables the track of memes across multiple Web communities.
simple customizable scoring systems in python
Tools for auditing autocomplete on Google and Bing
A dead-simple tool for executing Jupyter notebooks from the command line.
This library was created in order to evaluate the effectiveness of any kind of algorithm used in IR systems and analyze how well they perform.
A python implementation of Medicare's Risk Adjustment model based on Hierarchical Condition Categories (HCCs).
A powerful tool for analyzing and detecting valuable API endpoints from web traffic, with automatic header optimization and documentation generation.
SMS bot that helps Shipt shoppers keep track of pay over time