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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bmcmc

MCMC package for Bayesian data analysis

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

demand_forecast

edge-sync-service

Cloud - Edge synchronization service

esrnn-gpu

PyTorch GPU implementation of the ES-RNN model for time series forecasting

euler

A distributed graph deep learning framework.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

go-matrixprofile

golang library for computing matrix profiles along with other time series analysis features

gonum

Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

gslam

A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

guided-diffusion

imgaug

Image augmentation for machine learning experiments.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

legoos

Disseminated, Distributed OS for Hardware Resource Disaggregation. USENIX OSDI 2018 Best Paper.

liuzhixin1976.github.io

m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

mmdetection

Open MMLab Detection Toolbox and Benchmark

n-beats

n-beats-1

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

pytorch-fm

Factorization Machine models in PyTorch

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

reactphysics3d

Open source C++ physics engine library in 3D

refinedet.pytorch

A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection

refinedet.pytorch-1

A PyTorch inplementation of RefineDet

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

stable-diffusion

A latent text-to-image diffusion model

tdengine

An open-source big data platform designed and optimized for the Internet of Things (IoT).