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Mycroft Core, the Mycroft Artificial Intelligence platform.
Statsmodels: statistical modeling and econometrics in Python
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.
Cheat sheet for the "Deep Learning" course at ETH Zürich
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Python package for performing Entity and Text Matching using Deep Learning.
Cheatsheet for the Advanced Machine Learning Lecture 2020, ETH Zurich
Collection of reinforcement learning algorithms
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Interpretability and explainability of data and machine learning models
A collection of common functionality to simplify the design, training and evaluation of machine learning models based on pytorch with an emphasis on speech processing.
Data Augmentation with Variational Autoencoders (TPAMI)
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
A small package to create visualizations of PyTorch execution graphs
A pytorch adversarial library for attack and defense methods on images and graphs
Pytorch domain library for recommendation systems
A flexible, intuitive and fast forecasting library
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…