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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
TensorFlow code and pre-trained models for BERT
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
DALL·E Mini - Generate images from a text prompt
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Google AI 2018 BERT pytorch implementation
Implementation and experiments of graph embedding algorithms.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Generate embeddings from large-scale graph-structured data.
The Open Event Organizer Server to Manage Events https://test-api.eventyay.com
Convolutional recurrent network in pytorch
Wiki-like CTF write-ups repository, maintained by the community. 2014
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
PlayGround: AI Research into Multi-Agent Learning.
flask, heroku, environment variables, sqlalchemy, flask-migrate, redis
Deprecated - Kodi add-on repository focused for Indian Media Contents
TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.
Analysis and high-level plotting toolbox for eye-tracking data
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080
Implementation for the paper https://dl.acm.org/citation.cfm?doid=3240508.3240641