Hiro626

Hiro626's Stars

• oreilly-japan/deep-learning-from-scratch

  『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

  Language:Jupyter Notebook4.2k3.4k

• Dev-Gaju/NNFS-book-with-Implementation

  Book and code where describe each and every topic of neural network from scratch.

  Language:Python417

• ilmoi/MML-Book

  Code / solutions for Mathematics for Machine Learning (MML Book)

  Language:Jupyter Notebook1.1k174

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook8.9k3.6k

• PacktPublishing/Developing-Kaggle-Notebooks

  Language:Jupyter Notebook12242

• mrankitgupta/Data-Analyst-Roadmap

  I am sharing my Journey of 66DaysofData into Data Analytics by participating in Ken Jee's #66daysofdata challenge

  783116

• Moataz-Elmesmary/Data-Science-Roadmap

  Data Science Roadmap from A to Z

  3.6k522

• Jonathan-LeRoux/IguanaTex

  A PowerPoint add-in to insert LaTeX equations into PowerPoint presentations on Windows and Mac

  Language:VBA98167

• PacktPublishing/Reinforcement-Learning-Algorithms-with-Python

  Reinforcement Learning Algorithms with Python, Published by Packt

  Language:Python18392

• UDICatNCHU/PyTorch-Tutorial

  Language:Jupyter Notebook71

• khanhnamle1994/statistical-learning

  Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

  Language:R261122

• PacktPublishing/Generative-Adversarial-Networks-Projects

  Generative Adversarial Networks Projects, published by Packt

  Language:Python222144

• drakearch/kaggle-courses

  Kaggle courses and tutorials to get you started in the Data Science world.

  Language:Jupyter Notebook21271

• karpathy/neuraltalk

  NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

  Language:Python5.4k1.3k

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python16.5k6.7k

• PacktPublishing/The-Kaggle-Book

  Code Repository for The Kaggle Book, Published by Packt Publishing

  Language:Jupyter Notebook2.2k465

• PacktPublishing/The-Kaggle-Workbook

  Code Repository for The Kaggle Workbook, Published by Packt

  Language:Jupyter Notebook11744

• mdozmorov/MachineLearning_notes

  Machine learning and deep learning resources

  52679

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python25.3k4.6k

• taspinar/siml

  Machine Learning algorithms implemented from scratch

  Language:Jupyter Notebook484259

• shantanu1109/Coursera-Imperial-College-of-London-Mathematics-For-Machine-Learning-Specialization

  This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

  Language:Jupyter Notebook9050

• greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

  Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

  Language:Jupyter Notebook591271

• Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

  Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

  Language:Jupyter Notebook485221

• Ryota-Kawamura/How-Diffusion-Models-Work

  In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

  Language:Jupyter Notebook14587

• Ryota-Kawamura/Generative-AI-with-LLMs

  In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

  Language:Jupyter Notebook525394

• lyhsieh/NTHU-Machine-Learning

  NTHU EE6550: Machine Learning

  Language:Jupyter Notebook3

• EricLu1218/Deep_Learning

  2022 NTHU CS5656 (CS565600) Deep Learning Course Projects

  Language:Jupyter Notebook16

• EricLu1218/Machine_Learning

  2022 NTHU EE6550 (EE655000) Machine Learning Course Projects (include Maximum A Posteriori Estimation, Linear Regression, Neural Network Image Classification)

  Language:Jupyter Notebook10

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook9k931

• openai/mujoco-py

  MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

  Language:Cython2.9k818