suhoy901

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

streamlit

Streamlit — A faster way to build and share data apps.

recommenders

Best Practices on Recommendation Systems

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

prefect

Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

awesome-chatgpt

Curated list of awesome tools, demos, docs for ChatGPT and GPT-3

metaflow

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

feast

The Open Source Feature Store for Machine Learning

MLOps-Basics

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

rufus-scheduler

scheduler for Ruby (at, in, cron and every jobs)

alibi

Algorithms for explaining machine learning models

alibi-detect

Algorithms for outlier, adversarial and drift detection

kubernetes-in-action

Code from the Kubernetes in Action book

torchrec

Pytorch domain library for recommendation systems

textshot

Python tool for grabbing text via screenshot

bertsearch

Elasticsearch with BERT for advanced document search.

elastic

PyTorch elastic training

Multi-Agent-Reinforcement-Learning-Environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

rl_algorithms

Structural implementation of RL key algorithms

savn

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

visual-interaction-networks-pytorch

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

Repo-2019

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

vnla

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

m3ddpg

SLAM_cheatsheet

SLAM Cheatsheet