Open-source calculator for LLM system requirements.

My IPython notebooks

Library with various Zero-Order Optimization methods implemented in torch-like format

Методы оптимизации в ML

List of Computer Science courses with video lectures.

A complete computer science study plan to become a software engineer.

All Algorithms implemented in Python

Curated coding interview preparation materials for busy software engineers

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

PyTorch code for training neural networks without global back-propagation

Analyze your workout logs from Hevy, Strong, Lyfta, and more, with actionable insights, interactive muscle heatmaps, plateau detection, AI-powered analysis, calendar filtering, shareable progress c…

Muon is an optimizer for hidden layers in neural networks

[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.

[ACL 2024] (Oral) LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models

Crossword generator written in Python.

In this repository you can find an implementation of LSH (Local | Sensitive Hashing) and Finesse algorithms, designed to find similar data based on their hashes

An experimental platform for chunk-level data deduplication. Key words: DDFS, Sparse Index, Extreme Binning, SiLo, Sample Index, BLC; CBR, CFL, CAP, HAR; ASM, OPT; GC, Cumulus

Sprintz time series compression algorithm

VPTQ, A Flexible and Extreme low-bit quantization algorithm

Awesome LLM compression research papers and tools.

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.