machine-learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

There are 135345 repositories under machine-learning topic.

  • AI-Expert-Roadmap

    AI-Expert-Roadmap

    Roadmap to becoming an Artificial Intelligence Expert in 2022

    Language:JavaScript29.1k
  • pytorch-lightning

    pytorch-lightning

    Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

    Language:Python28.3k

  • machine-learning-for-software-engineers

    A complete daily plan for studying to become a machine learning engineer.

    28.1k
  • netron

    netron

    Visualizer for neural network, deep learning and machine learning models

    Language:JavaScript28k

  • data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

    Language:Python27.4k

  • mediapipe

    Cross-platform, customizable ML solutions for live and streaming media.

    Language:C++27.3k
  • applied-ml

    applied-ml

    📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

    27.3k

  • mindsdb

    The platform for building AI from enterprise data

    Language:Python26.7k

  • DeepFaceLive

    Real-time face swap for PC streaming or video calls

    Language:Python26.6k
  • fastai

    fastai

    The fastai deep learning library

    Language:Jupyter Notebook26.2k

  • xgboost

    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

    Language:C++26.2k
  • CLIP

    CLIP

    CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

    Language:Jupyter Notebook25.6k

  • awesome-deep-learning-papers

    The most cited deep learning papers

    Language:TeX25.5k

  • DeepSpeech

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

    Language:C++25.3k

  • handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

    Language:Jupyter Notebook25.2k

  • awesome-datascience

    :memo: An awesome Data Science repository to learn and apply for real world problems.

    25k

  • EasyOCR

    Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

    Language:Python24.2k

  • awesome-deep-learning

    A curated list of awesome Deep Learning tutorials, projects and communities.

    24.1k

  • pumpkin-book

    《机器学习》（西瓜书）公式详解

    24k

  • ML-From-Scratch

    Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

    Language:Python23.9k

  • supervision

    We write your reusable computer vision tools. 💜

    Language:Python23.9k

  • d2l-en

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

    Language:Python23.6k

  • WaveFunctionCollapse

    Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

    Language:C#23.3k

  • mojo

    The Mojo Programming Language

    Language:Mojo23.2k
  • homemade-machine-learning

    homemade-machine-learning

    🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

    Language:Jupyter Notebook23k

  • shap

    A game theoretic approach to explain the output of any machine learning model.

    Language:Jupyter Notebook22.7k

  • NLP-progress

    Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

    Language:Python22.6k

  • Paddle

    PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

    Language:C++22.2k

  • fastbook

    The fastai book, published as Jupyter Notebooks

    Language:Jupyter Notebook21.8k

  • learnopencv

    Learn OpenCV : C++ and Python Examples

    Language:Jupyter Notebook21.2k

  • 100-Days-Of-ML-Code

    100-Days-Of-ML-Code中文版

    Language:Jupyter Notebook21.1k
  • serve

    serve

    ☁️ Build multimodal AI applications with cloud-native stack

    Language:Python21.1k
  • qdrant

    qdrant

    Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

    Language:Rust20.3k

  • pytorch-handbook

    pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

    Language:Jupyter Notebook20.3k

  • 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

    500 AI Machine learning Deep learning Computer vision NLP Projects with code

    20.2k

  • paperless-ngx

    A community-supported supercharged version of paperless: scan, index and archive all your physical documents

    Language:Python20k