DDSP is an audio generation library that uses classical interpretable DSP elements (like filters, oscillators etc.) with deep learning models.
Featuretools is an open-source Python library designed for automated feature engineering. It was developed by the Feature Labs. It enables the creation of new features
NeX is a new scene representation based on MPI that models view-dependent effects by performing basis expansion on the pixel representation.
HiSD controls the image-to-image translation process via Hierarchical Style Disentanglement based on tags, attributes and styles.
Mayavi is a cross-platform library and application for 2D and 3D plotting and interactive visualization of scientific data using Python. It leverages the power of
The basic premise of BigGAN is simple; scale-up GAN training to benefit from larger models and larger batches.
Time series is a sequence of numerical data points in successive order and time series analysis is the technique of analysing the available data to
Process Mining is the amalgamation of computational intelligence, data mining and process management. It refers to the data-oriented analysis techniques used to draw insights into organizational processes.
Lux is a Python package that aims to make data exploration easier and quicker with its simple one-line syntax and visualization recommendations.
PyOD is a flexible and scalable toolkit designed for detecting outliers or anomalies in multivariate data; hence the name PyOD (Python Outlier Detection). It was
Neural Body employs sparse cameras to capture the poses of dynamic human body and renders integrated high-quality 3D views and scenes.
Python is one of the TIOBE Index programming languages of the year. It has become the go-to language for developers working on data science and
SelfTime is the state-of-the-art time series framework by finding inter-sample and intra-temporal relations
Orbit is an open-source Python framework created by Uber for Bayesian time series forecasting and inference.
Pykeen is a python package that generates knowledge graph embeddings while abstracting away the training loop and evaluation. The knowledge graph embeddings obtained using pykeen are reproducible, and they convey precise semantics in the knowledge graph.
PyVista (formerly known as ‘vtki’) is a flexible helper module and a high-level API for the Visualization Toolkit (VTK). It is a streamlined interface for
Arrow is a flexible Python library designed to create, format, manipulate, and convert dates, time, and timestamps in a sensible and human-friendly manner. It provides
Transfer Learning methods are primarily responsible for the breakthrough in Natural Learning Processing(NLP) these days. It can give state-of-the-art solutions by using pre-trained models to
GPyTorch is a PyTorch-based library designed for implementing Gaussian processes. It was introduced by Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger and
TensorLy is an open-source Python library that eases the task of performing tensor operations. It provides a high-level API for dealing with deep tensorized neural
Evaluation of a machine learning model is crucial to measure its performance. Numerous metrics are used in the evaluation of a machine learning model. Selection
ALBERT is a lite version of BERT which shrinks down the BERT in size while maintaining the performance.
Released under MIT license, built on PyTorch, PyTorch Geometric(PyG) is a python framework for deep learning on irregular structures like graphs, point clouds and manifolds,
Stanza is a Python natural language analysis library created by the Stanford NLP group. It is a collection of NLP tools that can be used
Open Federated Learning (OpenFL) is a Python 3 library designed for implementing a federated learning approach in Machine Learning experiments. The framework was developed by
Facebook AI Research (FAIR) research on meta-learning has majorly classified into two types: First, methods that can learn representation for generalization. Second, methods that can
Introduction to Pastas Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for
3D face reconstruction has been widely used for gaming applications. Though in the existing methods, game character customization methods require manual efforts from the users’
Introduction TimeSynth is a powerful open-source Python library for synthetic time series generation, so is its name (Time series Synthesis). It was introduced by J.
Probabilistic Graphical Models(PGM) are a very solid way of representing joint probability distributions on a set of random variables. It allows users to do inferences
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