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few-shot 是用 Python 编写的学习资料，用于系统学习与查阅。

Repository for few-shot learning machine learning projects

Faster-High-Res-Neural-Inpainting 是用 Lua 编写的学习资料，用于系统学习与查阅。

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

mlforecast 是用 Python 编写的学习资料，用于系统学习与查阅，主打可伸缩。

Scalable machine 🤖 learning for time series forecasting.

《深度学习入门：基于Python的理论与实现》电子版及配套代码​。​

《深度学习入门：基于Python的理论与实现》电子版及配套代码​。​

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

Interactively explore unstructured datasets from your dataframe.

PPO-for-Beginners 是用 Python 编写的学习资料，用于系统学习与查阅，主打易用。

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613df…

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

Paper reading notes on Deep Learning and Machine Learning

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

Examples of programs built using Modal

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

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

graphvite 是用 C++ 编写的学习资料，用于系统学习与查阅，主打高性能。

GraphVite: A General and High-performance Graph Embedding System

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

This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.

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

Code / solutions for Mathematics for Machine Learning (MML Book)

Deep-Learning-In-Production 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

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

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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

A neural network toolkit for Metal

xcessiv 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快、可伸缩。

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

rusty-machine 是用 Rust 编写的学习资料，用于系统学习与查阅。

Machine Learning library for Rust

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

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

ML-KWS-for-MCU 是用 C 编写的 AI 工具，用于人工智能方向的建模与推理。

Keyword spotting on Arm Cortex-M Microcontrollers

Data-Science-Machine-Learning-Project-with-Source-Code 是一个 AI 工具，用于人工智能方向的建模与推理。

Data Science and Machine Learning projects with source code.

Datasets 是一个学习资料，用于系统学习与查阅。

Machine learning datasets used in tutorials on MachineLearningMastery.com

myosuite 是用 Python 编写的学习资料，用于系统学习与查阅。

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the Op…

AwesomeAnimeResearch 是一个学习资料，用于系统学习与查阅。

Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.

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

Maia is a human-like neural network chess engine trained on millions of human games.