Stars
Awesome-LLM: a curated list of Large Language Model
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Explainable AI for Bioinformatics
"Global Importance Analysis: A Method to Quantify Importance of Genomic Features in Deep Neural Networks" by Koo et al.
In-silico Saturation Mutagenesis implementation with 10x or more speedup for certain architectures.
yuzu is a compressed-sensing based approach for quickly calculating in-silico mutagenesis saliency.
Elucidating the Utility of Genomic Elements with Neural Nets
Natural Language Processing course at CS HSE
Курс "Основы глубинного обучения" на майноре ИАД
This repository contains materials from calculus lectures for the 2023-2024 academic years (lecturer Ivan Erlikh)
Linear Algebra Course being taught in HSE in 2021/2022 (in russian)
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A game theoretic approach to explain the output of any machine learning model.
A simple app for getting mouse cursor position
Create an API-like interface for any app using keyboard and mouse simulation
Preview markdown files and convert to PDF inside Neovim!
https://www.biorxiv.org/content/10.1101/2023.07.03.547592v2