fanyak

fanyak's Stars

• sajad13901/Statistics_Wasserman

  Exercise Solutions for All of Statistics (Larry Wasserman)

  Language:Jupyter Notebook5811

• cvxgrp/cvxbook_additional_exercises

  Additional exercises and data for EE364a. No solutions; for public consumption.

  Language:Julia603160

• minitorch/minitorch

  The full minitorch student suite.

  Language:Python1.9k409

• pim-book/programmers-introduction-to-mathematics

  Code for A Programmer's Introduction to Mathematics

  Language:JavaScript3.4k285

• thepassle/swtl

  A Service Worker Templating Language (swtl) for component-like templating in service workers. Streams templates to the browser as they're being parsed, and handles rendering iterables/Responses in templates by default.

  Language:JavaScript2074

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook35.3k4.4k

• fanyak/mostly-adequate-guide

  Mostly adequate guide to FP (in javascript)

  Language:JavaScript1

• fanyak/You-Dont-Know-JS

  A book series on JavaScript. @YDKJS on twitter.

  1

• nucliweb/webperf-snippets

  ⚡️ 💾 Web Performance Snippets

  Language:MDX1.3k72

• logicalclocks/hopsworks-tutorials

  Tutorials for the Hopsworks Platform

  Language:Jupyter Notebook25593

• bbc/software-engineering-technical-assessments

  Technical assessment for hiring

  Language:Kotlin102122

• rasbt/LLM-finetuning-scripts

  Language:Jupyter Notebook19242

• telmo-correa/all-of-statistics

  Self-study on Larry Wasserman's "All of Statistics"

  Language:Jupyter Notebook1k283

• rasbt/blog-finetuning-llama-adapters

  Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to Adapters"

  Language:Jupyter Notebook438

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python169k44.6k

• strimmerlab/strimmerlab.github.io

  strimmerlab website

  Language:HTML12

• Lightning-AI/lit-llama

  Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

  Language:Python6k518

• visheratin/web-ai

  Run modern deep learning models in the browser.

  Language:TypeScript81242

• tysam-code/hlb-CIFAR10

  Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

  Language:Python1.2k76

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k27.3k

• huggingface/transformers.js

  State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

  Language:JavaScript12.3k786

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.7k1.4k

• fastai/numerical-linear-algebra

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

  Language:Jupyter Notebook10.3k2.6k

• fastai/course22p2

  course.fast.ai 2022 part 2

  Language:Jupyter Notebook480256

• fastai/course22

  The fast.ai course notebooks

  Language:Jupyter Notebook2.5k989

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.4k15.2k

• rasbt/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook3.7k1.3k

• AnswerDotAI/fastsetup

  Setup all the things

  Language:Shell23889

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.1k8.5k

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.5k1.6k