You Only Need Adversarial Supervision for Semantic Image Synthesis
Official PyTorch implementation of the ICLR 2021 paper "You Only Need Adversarial Supervision for Semantic Image Synthesis".
Latex code for drawing neural networks for reports and presentation.
Open Source Tamil Tools and NLP Library for Python 3
Therapeutics Data Commons (TDC) is a collection of machine learning tasks spread across different domains of therapeutics.
Introduction to ML with Python
Introduction to Machine Learning with Python
Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets
Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone.
PennyLane and Pytorch implementation of QGAN-HG
Dagster is a data orchestrator for machine learning, analytics, and ETL
Datasets collected for network science, deep learning and general machine learning research.
Robustness Gym is a Python evaluation toolkit for natural language processing.
Generative ENtity REtrieval
The aim of this project is to develop a sheet music reader.
A Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
This extension was added to the core JupyterLab extensions for JupyterLab 3.0.
Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble.
Jupytext is a plugin for Jupyter that can save Jupyter notebooks as either Markdown or Scripts
TextBox is developed based on Python and PyTorch for reproducing and developing text generation algorithms in a unified, comprehensive and efficient framework for research purpose.
CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs.
K-Means Clustering and PCA to categorize music by similar audio features
doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks.