A library for efficient similarity search and clustering of dense vectors.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Transformers for Classification, NER, QA, Language Modelling, Language Generation, Multi-Modal, and Conversational AI

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Tensorflow, Luminoth Based Table Detection and Extraction

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow and Sonnet.)

Table Detection using Deep Learning FasterRCNN

pyaddress is an address parsing library, taking the guesswork out of using addresses in your applications. We use it as part of our apartment search and apartment spider applications.

Siamese and triplet networks with online pair/triplet mining in PyTorch

Image similarity using Triplet Loss

Implementing Searching for MobileNetV3 paper using Pytorch

Official Python low-level client for Elasticsearch.

An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow

Tesseract Open Source OCR Engine (main repository)

A Python wrapper for Google Tesseract

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks…