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The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
DL course co-developed by YSDA, HSE and Skoltech
YSDA course in Natural Language Processing
A course in reinforcement learning in the wild
HERRO is a highly-accurate, haplotype-aware, deep-learning tool for error correction of Nanopore R10.4.1 or R9.4.1 reads (read length of >= 10 kbps is recommended).
Oxford Nanopore Technologies fast5 API software
Efficient Deep Learning Systems course materials (HSE, YSDA)
A dataset for training and benchmarking deep learning models for RNA structure prediction
Joint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. https://www.biorxiv.org/content/10.1101/2024.08.06.606920v1
Примеры продвинутого RAG
Training models for basecalling Oxford Nanopore reads
Chai-1, SOTA model for biomolecular structure prediction
Trying to train LoRAs for ESM-2
PyTorch implementation of some attentions for Deep Learning Researchers.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
oxpig / p-IgGen
Forked from OliverT1/p-IgGenp-IgGen: A Generative Paired Antibody Language Model
Open Machine Learning course
Official repository for discrete Walk-Jump Sampling (dWJS)
Official implementation of Generative Diffusion Models for Antibody Design, Docking, and Optimization.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Python library to handle Gene Ontology (GO) terms