Jackt5

Jackt5's Stars

• cahogan/swa

  Software infrastructure for our 2024 Halloween project

  Language:Python4

• r-UTDallas/autoMod

  autoMod Config for r/UTDallas subreddit. Pull Requests welcome!

  11

• r-UTDallas/.github

  UTDallas Subreddit Github Org!

  1

• tohweizhong/pdf-dump

  A dump of all the data science materials (mostly pdf's) that I have accumulated over the years

  331166

• MurugeshMarvel/Books

  Best selection of my books, common to all.

  147214

• chrisalbon/sim_data

  Language:HTML11

• DustinAlandzes/machine-learning-with-python-cookbook-notes

  (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

  Language:Jupyter Notebook275191

• Rajkumar-1234/Books

  ML and DS Books

  31

• jasdumas/ml-flashcards

  Extracting data from Twitter for #machinelearningflashcards :robot:

  Language:HTML4412

• Moataz-Elmesmary/Data-Science-Roadmap

  Data Science Roadmap from A to Z

  3.5k483

• farukalamai/advanced-machine-learning-engineer-roadmap-2024

  A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

  54573

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown324k30k

• halcyoona/computer-organization-and-assembly-language-el-213

  Language:Assembly2

• halcyoona/linear-algebra-mt-104

  Language:C++2

• halcyoona/data-structures-cs-201

  Language:C++32

• halcyoona/computer-organization-and-assembly-language-ee-213

  Language:Assembly103

• halcyoona/probability-and-statistics-mt-206

  82

• VuBacktracking/Coursera-Machine-Learning-Specialization

  Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

  Language:Jupyter Notebook2516

• quocviethere/Coursera-Machine-Learning-Specialization

  2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

  Language:Jupyter Notebook238165

• greyhatguy007/Machine-Learning-Specialization-Coursera

  Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

  Language:Jupyter Notebook4.3k2.6k

• erfanzar/EasyDeL

  Accelerate, Optimize performance with streamlined training and serving options with JAX.

  Language:Python21624

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.9k2.8k

• DanielMartensson/EmbeddedLapack

  Linear algebra for embedded system with MATLAB style

  Language:C15129

• rkneusel9/MathForDeepLearning

  Source code for the book "Math for Deep Learning" (No Starch Press)

  Language:Python14148

• Chrisackerman1/The-Hundred-Page-Machine-Learning-Book

  https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/blob/master/General-Machine-Learning/The%20Hundred-Page%20Machine%20Learning%20Book%20by%20Andriy%20Burkov/Links%20to%20read%20the%20chapters%20online.md

  9913

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.5k1.6k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.6k2.5k

• krgamestudios/MERN-template

  A website template using the MERN stack. It is geared towards Persistent Browser Based Games (think neopets), but is flexible enough for a number of different uses.

  Language:JavaScript738

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python43.8k8.4k

• manjunath5496/Tensor-Calculus-Books

  "This book is for all of us who looked up at the sky in wonder, and then cried when we learned how much calculus separated us from the stars." ― K. Ancrum

  133