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Llm Course ⭐ 18,955

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Numerical Linear Algebra ⭐ 9,850

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

T81_558_deep_learning ⭐ 5,590

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Practical_rl ⭐ 5,572

A course in reinforcement learning in the wild

Deep Learning Coursera ⭐ 5,253

Deep Learning Specialization by Andrew Ng on Coursera.

Tensorflow Deep Learning ⭐ 4,632

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Course Nlp ⭐ 3,271

A Code-First Introduction to NLP course

Python For Algorithms Data Structures And Interviews ⭐ 2,329

Files for Udemy Course on Algorithms and Data Structures

Zero To Mastery Ml ⭐ 2,307

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Complete Python Bootcamp ⭐ 2,114

Lectures for Udemy - Complete Python Bootcamp Course

Ml Course ⭐ 1,936

Open Machine Learning course

Tf2_course ⭐ 1,884

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

General Assembly's 2015 Data Science course in Washington, DC

Python Deepdive ⭐ 1,298

Python Deep Dive Course - Accompanying Materials

Ppde642 ⭐ 1,244

USC urban data science course series with Python and Jupyter

Deep Learning Coursera ⭐ 1,236

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

Ml_course ⭐ 1,138

EPFL Machine Learning Course, Fall 2023

Natural Language Processing ⭐ 1,057

Resources for "Natural Language Processing" Coursera course.

All Python Codes Of Ztm Course By Andrei Neagoie ⭐ 987

Scikit Learn Mooc ⭐ 963

Machine learning in Python with scikit-learn MOOC

Reinforcement_learning_course_materials ⭐ 857

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Langchain Course ⭐ 836

Learn to build and deploy AI apps.

Course20 ⭐ 814

Deep Learning for Coders, 2020, the website

General Assembly's Data Science course in Washington, DC

Causalml ⭐ 665

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Mslearn Dp100 ⭐ 560

Lab files for Azure Machine Learning exercises

A machine learning course using Python, Jupyter Notebooks, and OpenML

Datasciencecourse ⭐ 515

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

Deeplearning.ai ⭐ 503

Some work of Andrew Ng's course on Coursera

Intro To Python ⭐ 497

An intro to Python & programming for wanna-be data scientists

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

Cs131_release ⭐ 422

Released assignments for the Stanford's CS131 course on Computer Vision.

18.335 - Introduction to Numerical Methods course

Python For Text Analysis ⭐ 410

If you want to use Python for text analysis, this course is for you!

Stat479 Machine Learning Fs18 ⭐ 400

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

Mslearn Ai900 ⭐ 391

Lab files for AI-900: Azure AI Fundamentals

100daysofmlcode ⭐ 369

Python Course ⭐ 369

Tutorial and introduction into programming with Python for the humanities and social sciences

Coursera Stanford Ml Python ⭐ 365

Coursera/Stanford Machine Learning course assignments in python

Dcai Lab ⭐ 356

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

Course Starter Python ⭐ 347

👩‍🏫🐍 Starter repo for building interactive Python courses

Course Resources Ml With Experts Budgets ⭐ 344

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

Neural Networks And Deep Learning ⭐ 325

This is my assignment on Andrew Ng's course “neural networks and deep learning”

Web Data Scraping S2019 ⭐ 311

Python Seminar ⭐ 310

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

Serverless Ml Course ⭐ 296

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

Zero_to_deep_learning_video ⭐ 296

Repository for the Zero to Deep Learning® Video Course

Deeplearning.ai Notes ⭐ 271

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Machine Learning Notebooks ⭐ 258

Stanford Machine Learning course exercises implemented with scikit-learn

Dl Imperial Maths ⭐ 253

Code and assignment repository for the Imperial College Mathematics department Deep Learning course

Intro Numerical Methods ⭐ 248

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Introduction To Machine Learning ⭐ 234

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

Llamaindex Course ⭐ 232

Learn to build and deploy AI apps.

Deep_vision_and_graphics ⭐ 232

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

General Assembly's Data Science course in Washington, DC

Intro Cultural Analytics ⭐ 221

Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

Numerical Linear Algebra V2 ⭐ 217

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

Programming With Data ⭐ 217

🐍 Learn Python and Pandas from the ground up

Coursera Natural Language Processing Specialization ⭐ 217

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Amazonsagemakercourse ⭐ 210

In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning

Bayes_computing_course ⭐ 208

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

Deeplearning.ai Note ⭐ 199

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及

Machine Learning Online 2018 ⭐ 195

ML Online Course Repository. Course videos on online.codingblocks.com

Docker Course Xgboost ⭐ 189

Materials for an online-course - "Practical XGBoost in Python"

Chipwhisperer Jupyter ⭐ 179

Interactive ChipWhisperer tutorials using Jupyter notebooks.

Uq Course ⭐ 177

Introduction to Uncertainty Quantification

Urban Informatics And Visualization ⭐ 177

Urban Informatics and Visualization (UC Berkeley CP255)

General Assembly's Data Science course in Washington, DC

Tensorflow Safari Course ⭐ 170

⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.

Ce7454_2019 ⭐ 170

Deep learning course CE7454, 2019

Ml Training Camp ⭐ 170

Debuggingbook ⭐ 168

Project page for "The Debugging Book"

Compling_nlp_hse_course ⭐ 157

Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ

Coms4995 S18 ⭐ 153

COMS W4995 Applied Machine Learning - Spring 18

Python Data Visualization Course ⭐ 151

Course materials for teaching data visualization in Python.

Data Pipelines Course ⭐ 150

Course materials for my data pipeline video course with O'Reilly

Lessonmaterials ⭐ 150

Open Sourced Curriculum and Lessons for an Introductory AI/ML Course

Curso Python Udemy ⭐ 148

Curso Maestro de Python: Aprende desde cero (32 horas)

Juliacoursenotebooks ⭐ 147

Jupyter notebooks for the Julia Scientific Programming course on Coursera

Stanford_cs231n_2019 ⭐ 147

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

Machine_learning_for_good ⭐ 145

Machine learning fundamentals lesson in interactive notebooks

Amazon Sagemaker Architecting For Ml ⭐ 143

Materials for a 2-day instructor led course on applying machine learning

Partia Computing Michaelmas ⭐ 138

Activities and exercises for the Part IA computing course in Michaelmas Term

Limperg_python ⭐ 137

Repository with material for the Limperg Python course by Ties de Kok.

Geostatspy_intro_course ⭐ 135

Introduction to spatial data analytics and machine learning with GeostatsPy Python package

Intro To Ml Tensorflow ⭐ 133

Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course

Introduction To Data Science In Python ⭐ 132

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

Mastering Apache Spark ⭐ 130

This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel

Data X Plaksha ⭐ 129

Official Data-X Plaksha repo

Course_aws_certified_machine_learning ⭐ 129

Codeastro ⭐ 125

Course Material for the Code/Astro Workshop

Thepythonmegacourse ⭐ 118

Introdatasci ⭐ 114

Course materials for: Introduction to Data Science and Programming

Cs229 Python ⭐ 114

Exercises and solutions to Stanford CS229 Machine Learning in Python

Oreilly Matplotlib Course ⭐ 113

Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"

Dataminingnotebooks ⭐ 113

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

Cs231n Convolutional Neural Networks Solutions ⭐ 110

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

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