There are 144 repositories under machinelearning topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Visualizer for neural network, deep learning, and machine learning models
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
machine learning and deep learning tutorials, articles and other resources
Data-centric declarative deep learning framework
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
My blogs and code for machine learning. http://cnblogs.com/pinard
NSFW detection on the client-side via TensorFlow.js
Debugging, monitoring and visualization for Python Machine Learning and Data Science
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Machine learning resources
a delightful machine learning tool that allows you to train, test, and use models without writing code
Tools to Design or Visualize Architecture of Neural Network
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
A machine learning toolkit dedicated to time-series data
A curated list of awesome anomaly detection resources
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
Neural Nets for Nudity Detection and Censoring
Keras model of NSFW detector
A uniform interface to run deep learning models from multiple frameworks
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
PyTorch to Keras model convertor
Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
A curated list of amazingly awesome Cybersecurity datasets
Compilation of R and Python programming codes on the Data Professor YouTube channel.
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
A VS Code extension pack to help users visualize, understand, and interact with data.
custom human activity recognition modules by pose estimation and cascaded inference using sklearn API