machine-learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
There are 139906 repositories under machine-learning topic.
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
netron
Visualizer for neural network, deep learning and machine learning models
pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
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.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
DeepFaceLive
Real-time face swap for PC streaming or video calls
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
fastai
The fastai deep learning library
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
awesome-deep-learning-papers
The most cited deep learning papers
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.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
supervision
We write your reusable computer vision tools. 💜
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
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.
pumpkin-book
《机器学习》（西瓜书）公式详解
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.
paperless-ngx
A community-supported supercharged version of paperless: scan, index and archive all your physical documents
WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
mojo
The Mojo Programming Language
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
shap
A game theoretic approach to explain the output of any machine learning model.
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.
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）
fastbook
The fastai book, published as Jupyter Notebooks
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
learnopencv
Learn OpenCV : C++ and Python Examples
qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
serve
☁️ Build multimodal AI applications with cloud-native stack
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
recommenders
Best Practices on Recommendation Systems