Popular GitHub Repositories for Caddy Examples

Examples and guides for using the OpenAI API

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

Minimal and clean examples of machine learning algorithms implementations

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Tensorflow2.0 ?? is delicious, just eat it! ??

A collection of machine learning examples and tutorials.

Probabilistic language based on pattern matching and constraint propagation, 153 examples

精选的GPT-4o图像和提示集合。探索来自OpenAI最新模型的各种AI生成艺术风格（吉卜力、3D等）。

Natural Language Processing Best Practices & Examples

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

TextAttack ? is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX