This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

A curated list of gradient boosting research papers with implementations.

All Algorithms implemented in Rust

Quadsort is a branchless stable adaptive mergesort faster than quicksort.

📚 Solutions to Introduction to Algorithms Third Edition

The Kotlin Programming Language.

C++ programmer's guide to undefined behavior

Exercism exercises in Python.

Exercism exercises in Kotlin.

A curated list of awesome Kotlin related stuff Inspired by awesome-java.

All Algorithms implemented in Kotlin

The full minitorch student suite.

Projects, Algorithms and data structures implemented in Golang with explanations and links to further readings

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Practice your pandas skills!

A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.

Schedule-Free Optimization in PyTorch

From the Transistor to the Web Browser, a rough outline for a 12 week course

From the Tensor to Stable Diffusion, a rough outline for a 1 week course.

Accessible large language models via k-bit quantization for PyTorch.

ITMO CT C++ course notes

List of papers on hallucination detection in LLMs.

Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793

The Hugging Face course on Transformers

LLM101n: Let's build a Storyteller

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Biological foundation modeling from molecular to genome scale