1,961 skills found · Page 1 of 66
tatsu-lab / Stanford AlpacaCode and documentation to train Stanford's Alpaca models, and generate the data.
d2l-ai / D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
afshinea / Stanford Cs 229 Machine LearningVIP cheatsheets for Stanford's CS 229 Machine Learning
chiphuyen / Stanford Tensorflow TutorialsThis repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
stanfordnlp / StanzaStanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
bitwiseshiftleft / Sjcl[DEPRECATED] Stanford Javascript Crypto Library
greyhatguy007 / Machine Learning Specialization CourseraContains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
afshinea / Stanford Cs 230 Deep LearningVIP cheatsheets for Stanford's CS 230 Deep Learning
afshinea / Stanford Cme 295 Transformers Large Language ModelsVIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
cycleuser / Stanford CS 229A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
mihail911 / Modern Software Dev AssignmentsAssignments for CS146S: The Modern Software Dev (Stanford University Fall 2025)
maxim5 / Cs229 2018 AutumnAll notes and materials for the CS229: Machine Learning course by Stanford University
weld-project / WeldHigh-performance runtime for data analytics applications
DSKSD / DeepNLP Models PytorchPytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
afshinea / Stanford Cs 221 Artificial IntelligenceVIP cheatsheets for Stanford's CS 221 Artificial Intelligence
stanford-crfm / HelmHolistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
X140Yu / Developing IOS 8 Apps With SwiftStanford 公开课，Developing iOS 8 Apps with Swift 字幕翻译
amaas / Stanford Dl ExProgramming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Machine-Learning-Tokyo / AI CurriculumOpen Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Nate711 / StanfordDoggoProjectStanford Doggo is an open source quadruped robot that jumps, flips, and trots!
