696 Open source projects that are alternatives of or similar to mindware

One-Shot Learning with Triplet CNNs in Pytorch

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

nsq注释版基于0.3.7版本

A research library for pytorch-based neural network pruning, compression, and more.

A library that implements the outboxer pattern in go

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Tutorials to help you build your first Swim app

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

pull and push configs in distributed configuration management service. migrated to go-archaius https://github.com/go-chassis/go-archaius/pull/87

Elo ratings for global black box derivative-free optimizers

简单易用的微服务框架 | Ease used microservice framework

Tools for peer-to-peer privacy with Ethereum and AZTEC

A curated list of awesome projects and resources related to the Substrate blockchain development framework.

Learning To Compare For Text , Few shot learning in text classification

Fabric is an experimental protocol for exchanging information.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Block explorer for Hyperledger Fabric

Microservices project

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Distributed, workflow-driven integration environment

Reactive Microservices for the JVM

Bayesian Optimization algorithms with various recent improvements

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Python Meta-Feature Extractor package.

A Python package for approximate Bayesian inference and optimization using Gaussian processes

H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Automatic DNN compression tool with various model compression and neural architecture search techniques

Time Series Ensemble Forecasting

pyrff: Python implementation of random fourier feature approximations for gaussian processes

A $20k consensus challenge based on TigerBeetle's implementation of the pioneering Viewstamped Replication protocol.

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

Parallel random matrix tools and complexity for deep learning

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

Java implementation of the Moleculer microservices framework

Jehanne Operating System

Distributed Systems programming examples in the Go programming language.

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

Distributed timers as a service - for Node.js

Dkron - Distributed, fault tolerant job scheduling system https://dkron.io

A distributed file system written in Rust.

Next generation distributed, event-driven, parallel config management!

kgpml.github.io/deep-vessel/

A model checker for implementing distributed systems.

Powell's Derivative-Free Optimization solvers

MySQL 学习笔记

Materialize lets you ask questions of your live data, which it answers and then maintains for you as your data continue to change. The moment you need a refreshed answer, you can get it in milliseconds. Materialize is designed to help you interactively explore your streaming data, perform data warehousing analytics against live relational data, or just increase the freshness and reduce the load of your dashboard and monitoring tasks.

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Distributed system emulation in Common Lisp

A lightweight Peer to Peer Service Bus

Python Actor concurrency library

利用 Go 语言实现多种分布式算法

An actor framework for Go

🔎 A distributed application health monitoring library

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686