The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

《统计学习方法》的代码实现

Companion webpage to the book "Mathematics For Machine Learning"

The "Python Machine Learning (1st edition)" book code repository and info resource

A collection of pre-trained, state-of-the-art models in the ONNX format

Toturials coming with the "data science roadmap" picture.

A better notebook for Scala (and more)

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

OpenMMLab course index and stuff

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Markdown <=> IPython Notebook

Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

Parquet-based ML data format optimized for working with unstructured data

COVID-19 open data in Shanghai

This is the github repository for converting craft pretrained model to tflite version