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SDV 是用 Python 编写的学习资料，用于系统学习与查阅。

Synthetic data generation for tabular data

cs229-2018-autumn 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

All notes and materials for the CS229: Machine Learning course by Stanford University

hummingbird 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打速度快。

Hummingbird compiles trained ML models into tensor computation for faster inference.

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

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

pomegranate 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快、易用、可扩展。

Fast, flexible and easy to use probabilistic modelling in Python.

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

Seamlessly integrate LLMs into scikit-learn.

”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正

”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正

hub 是用 Python 编写的学习资料，用于系统学习与查阅。

A library for transfer learning by reusing parts of TensorFlow models.

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

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

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

Visual tracking library based on PyTorch.

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

:earth_americas: machine learning tutorials (mainly in Python3)

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

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quan…

course-nlp 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 Code-First Introduction to NLP course

LSTM-Human-Activity-Recognition 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six acti…

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

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional imag…

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

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

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

Debugging, monitoring and visualization for Python Machine Learning and Data Science

picoGPT 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。

An unnecessarily tiny implementation of GPT-2 in NumPy.

Data-Science-Interview-Resources 是一个学习资料，用于系统学习与查阅。

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added f…

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

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQ…

adanet 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打速度快、可扩展。

Fast and flexible AutoML with learning guarantees.

towhee 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打速度快、易用。

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Otter 是用 Python 编写的学习资料，用于系统学习与查阅。

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instr…