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data-science-question-answer 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A repo for data science related questions and answers

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

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feat…

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

Deep Learning toolkit for Computer Vision.

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

The collection of pre-trained, state-of-the-art AI models for ailia SDK

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

Graph Neural Networks with Keras and Tensorflow 2.

practical-machine-learning-with-python 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the high…

awesome-autonomous-vehicles 是一个 AI 工具，用于人工智能方向的建模与推理。

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

texar 是用 Python 编写的学习资料，用于系统学习与查阅。

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-projec…

PPO-PyTorch 是用 Python 编写的学习资料，用于系统学习与查阅，主打轻量。

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

OpenNMT 是用 Lua 编写的学习资料，用于系统学习与查阅，主打开源免费。

Open Source Neural Machine Translation in Torch (deprecated)

axlearn 是用 Python 编写的学习资料，用于系统学习与查阅，主打可扩展。

An Extensible Deep Learning Library

hifi-gan 是用 Python 编写的学习资料，用于系统学习与查阅。

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

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

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse…

awesome-remote-sensing-change-detection 是一个资源清单，按主题汇总同类优质资源，主打功能完整。

A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.

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

Awesome-AutoDL 是用 Python 编写的资源清单，按主题汇总同类优质资源。

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

bulbea 是用 Python 编写的学习资料，用于系统学习与查阅。

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

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

Run Mixtral-8x7B models in Colab or consumer desktops

decaNLP 是用 Python 编写的学习资料，用于系统学习与查阅。

The Natural Language Decathlon: A Multitask Challenge for NLP

labml 是用 Python 编写的学习资料，用于系统学习与查阅。

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

tangent 是用 Python 编写的学习资料，用于系统学习与查阅。

Source-to-Source Debuggable Derivatives in Pure Python

audiomentations 是用 Python 编写的多媒体工具，用于处理音视频内容。

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

ICCV2019-LearningToPaint 是用 Python 编写的学习资料，用于系统学习与查阅。

ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning