phoenixstar7

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

cppbestpractices

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

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.

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

Algorithms-2

A collection of algorithms and data structures

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

av1-avif

AV1 Image File Format Specification - ISO-BMFF/HEIF derivative

bare-metal-programming-guide

A bare metal programming guide (ARM microcontrollers)

carbon-lang

Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

coursera-deep-learning-specialization

Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cpp_software_design

Code Examples from "C++ Software Design: Design Principles and Patterns for High-Quality Software" (ISBN: 1098113160)

deep-learning-specialization

Contains Solutions to Deep Learning Specailization - Coursera

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

EASTL

EASTL stands for Electronic Arts Standard Template Library. It is an extensive and robust implementation that has an emphasis on high performance.

encore

Transcode media files in an epic manner

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

examples-1

Learn to create a desktop app with Python and Qt

fastbook

The fastai book, published as Jupyter Notebooks

ImplementingUsefulAlgorithms

Code from Implementing Useful Algorithms in C++ by Dmytro Kedyk

LeetCode-3

My C++ Code for LeetCode OJ

libavif

libavif - Library for encoding and decoding .avif files

llm.c

LLM training in simple, raw C/CUDA

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc.

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

solidity

Solidity, the Smart Contract Programming Language

theEmbeddedNewTestament.github.io

vct

Video coding tutorial, a collection of Jupyter notebooks on the fundamentals of image and video coding