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此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
All Algorithms implemented in Python
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Experiments with Deep Learning
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
Fast and memory-efficient exact attention
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
[NeurIPS 22] [AAAI 24] Recurrent Transformer-based long-context architecture.
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
Free MLOps course from DataTalks.Club
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Implementation of popular ML algorithms from scratch
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。
Hands-On Machine Learning for Algorithmic Trading, published by Packt
LeetCode The Hard Way - From Absolute Beginner to Quitter. Join Discord: https://discord.com/invite/Nqm4jJcyBf
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
List of Data Science Cheatsheets to rule the world
An Interview Primer for Quantitative Finance
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases