sylviachency,github

ailearning-theory-applying

快速上手Ai理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

algorithms

Minimal examples of data structures and algorithms in Python

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

botsharp

The AI Agent Framework in .NET

data-structures-using-python

This is my repository for Data Structures using Python

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

epijudge

EPI Judge - Preview Release

everything-about-llms

A work in progress. Trying to write about all interesting or necessary pieces in the current development of LLMs and generative AI. Gradually adding more topics.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

generative-recommenders

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).

gpt4free

decentralising the Ai Industry, just some language model api's...

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

learn-python3

Jupyter notebooks for teaching/learning Python 3

leetcode

leetcode Study

lihang-code

《统计学习方法》的代码实现

lintcode-ladder

LintCode python practice

llm_interview_note

主要记录大语言大模型（LLMs）算法（应用）工程师相关的知识及面试题

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

machine-learning-articles

List of interesting articles on different topics of machine learning and deep learning

machine-learning-interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machinelearning_python

机器学习算法python实现

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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