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Tools-to-Design-or-Visualize-Architecture-of-Neural-Network 是一个学习资料，用于系统学习与查阅。

Tools to Design or Visualize Architecture of Neural Network

tensorspace 是用 JavaScript 编写的学习资料，用于系统学习与查阅。

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFl…

sketch-code 是用 Python 编写的学习资料，用于系统学习与查阅。

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

machine_learning_complete 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理，主打功能完整。

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

keras-js 是用 JavaScript 编写的 AI 工具，用于人工智能方向的建模与推理。

Run Keras models in the browser, with GPU support using WebGL

unet 是用 Jupyter Notebook 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

unet for image segmentation

segmentation_models 是用 Python 编写的学习资料，用于系统学习与查阅。

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

textgenrnn 是用 Python 编写的学习资料，用于系统学习与查阅。

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

image-super-resolution 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

PINTO_model_zoo 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenV…

alpha-zero-general 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

DeepLearningZeroToAll 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

TensorFlow Basic Tutorial Labs

Deep-Learning-in-Production 是一个 AI 工具，用于人工智能方向的建模与推理。

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

pytorch-summary 是用 Python 编写的学习资料，用于系统学习与查阅。

Model summary in PyTorch similar to `model.summary()` in Keras

polyaxon 是用 MDX 编写的 AI 工具，用于人工智能方向的建模与推理。

AI Infra / AI Orchestration / AI Control Plane

byteps 是用 Python 编写的学习资料，用于系统学习与查阅，主打高性能、可伸缩。

A high performance and generic framework for distributed DNN training

machine-learning-articles 是一个 AI 工具，用于人工智能方向的建模与推理。

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

donkeycar 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打轻量、开源免费。

Open source hardware and software platform to build a small scale self driving car.

TensorFlow.NET 是用 C# 编写的学习资料，用于系统学习与查阅。

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

determined 是用 Go 编写的学习资料，用于系统学习与查阅，主打可伸缩、开源免费。

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resourc…

deep-learning-model-convertor 是一个 AI 工具，用于人工智能方向的建模与推理。

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

imgclsmob 是用 Python 编写的学习资料，用于系统学习与查阅。

Sandbox for training deep learning networks

keras-vis 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Neural network visualization toolkit for keras

foolbox 是用 Python 编写的学习资料，用于系统学习与查阅。

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