Starred repositories
A list of papers on Generative Adversarial (Neural) Networks
A curated list of awesome computer vision resources
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Self-contained, minimalistic implementation of diffusion models with Pytorch.
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
the oblique strategies as a very simple node module
Neural network models for contrail detection and segmentation
The Python interface for OpenSky database
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our v…
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Stanford CS236 Default Final Project Starter Code
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
You know Simon Wardley's medium posts on his Wardley Mapping technique? This is an AsciiDoc of them.
A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".
Library for exploring and validating machine learning data
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.