machine-learning

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.

Collection of various algorithms implemented in R.

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

A list of backdoor learning resources

Portfolio optimization with deep learning.

Machine learning-Stanford University

A collection of scripts and notebooks to help you get started quickly.

🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。

ONNXMLTools enables conversion of models to ONNX

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

A higher-level Neural Network library for microcontrollers.

Cool vision, learning, and graphics papers on Cats!

A set of tools that gives agents powerful capabilities.

Research on Tabular Deep Learning: Papers & Packages

A curated, but incomplete, list of data-centric AI resources.

GRASS - free and open-source geospatial processing engine

A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Tools for handling multimodal data in machine learning projects.