Alternatives and similar repositories for tinyml

Users that are interested in tinyml are comparing it to the libraries listed below

• amusi / coding-note
  刷题笔记：LeetCode和剑指Offer等
  ☆91Updated 6 years ago
• borgwang / tinynn-autograd
  tinynn with automatic differentiation
  ☆40Updated 2 years ago
• borgwang / tinynn
  A lightweight deep learning library
  ☆391Updated 4 months ago
• monkeyDemon / Learn_Dive-into-DL-PyTorch
  Datawhale第10期组队学习活动：《动手学深度学习》Pytorch版的练习代码
  ☆91Updated 5 years ago
• zakheav / automatic-differentiation-framework
  an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
  ☆100Updated 5 years ago
• zc911 / MatrixSlow
  A simple deep learning framework in pure python for purpose of learning in DL
  ☆447Updated 8 months ago
• HadXu / Thunder
  A small deep-learning framework with C++/Python/CUDA
  ☆54Updated 7 years ago
• Eric3911 / Related-works-ch
  工程与学术笔记
  ☆188Updated 7 months ago
• finlay-liu / Learn-CV-The-Hard-Way
  Learn Computer Vision The Hard Way，通过实际案例来学习计算机视觉。
  ☆74Updated 5 years ago
• keithyin / read-pytorch-source-code
  pytorch源码阅读 0.2.0 版本
  ☆91Updated 5 years ago
• myazi / myLearn
  machine learning algorithm
  ☆162Updated 3 years ago
• extreme-assistant / AI-job-ads
  腾讯/百度/华为/商汤等AI公司算法岗内推汇总（含校招、社招、实习生岗）
  ☆44Updated 5 years ago
• xylcbd / MiniDL
  C++从零开始深度学习
  ☆67Updated 5 years ago
• bBobxx / statistical-learning
  《统计学习方法》李航 c++实现，包含书中例题，新手练习c++,希望指正.
  ☆96Updated 6 years ago
• layerism / brpc_faiss_server
  Vector Search Engine base on BRPC + FAISS
  ☆150Updated 6 years ago
• LiebingYu / tinyflow
  A simple deep learning framework that supports automatic differentiation and GPU acceleration.
  ☆59Updated 2 years ago
• aksnzhy / xlearn_doc_cn
  xlearn 中文文档
  ☆18Updated 3 years ago
• MachineLP / QDServing
  ml模型分布式服务部署：grpc，flask；docker
  ☆76Updated 4 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 6 years ago
• tensor-infinity / machine_learning_and_application_v1
  本项目代码为雷明老师18年12月在清华出版社出版的《机器学习与应用》第一版中的配套代码，欢迎登录www.sigai.cn试听雷老师《机器学习》《深度学习》视频
  ☆154Updated 6 years ago
• niudd / kaggle-cloud
  ☆121Updated 5 years ago
• jiye-ML / Probabilistic_Graphical_Models_study
  概率图模型学习
  ☆23Updated 6 years ago
• apachecn / sklearn-cookbook-zh
  [译] Scikit-learn 秘籍
  ☆54Updated 6 years ago
• LogicJake / MLCompetitionHub
  机器学习竞赛信息聚合(Machine learning competition information aggregation)
  ☆132Updated 2 years ago
• mxtx0509 / Offer-Get
  有关深度学习的面试题目（大多源于牛客网）
  ☆45Updated 5 years ago
• fmscole / backpropagation
  学习反向传播的python3代码
  ☆57Updated 6 years ago
• amusi / cpp-from-zero-to-one
  Learning C++ from zero to one
  ☆52Updated 7 years ago
• Charmve / PaperWeeklyAI
  📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
  ☆88Updated last year
• laobadao / Deep-Learning-Interview
  深度学习面试汇总，基本知识点的查漏补缺
  ☆115Updated 7 years ago
• yupeifengyannis / fishCaffe
  caffe源码解读
  ☆25Updated 6 years ago