VAME is a framework to cluster behavioral signals obtained from pose-estimation tools. It is a PyTorch based deep learning framework which leverages the power of recurrent neural networks (RNN) to model sequential data. In order t
Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities and more. Data Profiles can then be used in downstre
Rosetta is a privacy-preserving framework based on TensorFlow. It integrates with mainstream privacy-preserving computation technologies, including cryptography, federated learning and trusted execution environment.
Creative NLG and Computational Creativity is becoming popular more so with the advent of Language Models. We hope to provide a list of great papers that can serve as a reference for researchers interested in such topics. This repo
Panoptic-PolarNet is a fast and robust LiDAR point cloud panoptic segmentation framework. We learn both semantic segmentation and class-agnostic instance clustering in a single inference network using a polar Bird's Eye View (BEV)
Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels without pre-existing datasets
TrueZen.nvim is a NeoVim plugin written mostly in Lua that aims to provide a cleaner and less cluttered interface [than usual] when toggled in either of it's two different modes (minimalist mode and ataraxis mode).
Nebula is a Cloud and (hopefully) DevOps Penetration Testing framework. It is build with modules for each provider and each functionality. As of April 2021, it only covers AWS, but is currently an ongoing project and hopefully wil