sylviachency's repositories
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, ... 🧠
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。
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).
dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
BotSharp
The AI Agent Framework in .NET
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
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
transformers_tasks
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
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.
ModelCenter
Efficient, Low-Resource, Distributed transformer implementation based on BMTrain
machine-learning-articles
List of interesting articles on different topics of machine learning and deep learning
gpt4free
decentralising the Ai Industry, just some language model api's...
RS_paper_study
推荐系统学习笔记
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
pytorch-Deep-Learning
Deep Learning (with PyTorch)
NLP-Interview-Notes
该仓库主要记录 NLP 算法工程师相关的面试题
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
leetcode
leetcode Study
RES-Interview-Notes
该仓库主要记录 推荐系统 算法工程师相关的面试题
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
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
ML2021-Spring
李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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.
machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers