FAPLM: A Drop-in Efficient Pytorch Implementation of Protein Language Models

Fast and memory-efficient exact attention

Awesome-LLM: a curated list of Large Language Model

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

NanoGPT (124M) in 3 minutes

Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders

A framework for few-shot evaluation of language models.

Data repository for "Fine-tuning protein language models boosts predictions across diverse tasks"

CLEAN: a contrastive learning model for high-quality functional prediction of proteins

Gene cluster comparison figure generator

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Neural Networks: Zero to Hero

The simplest, fastest repository for training/finetuning medium-sized GPTs.

LLM training in simple, raw C/CUDA

Video+code lecture on building nanoGPT from scratch

My Solution to Assignments of CS234(Stanford / Fall 2019)

My Solution to Assignments of CS231n in Winter2016

Shortest solutions for CS231n 2021-2025

Predict the function of phage hypothetical proteins using an LSTM model trained with Phage Synteny

fast phage annotation program

Phage Annotation using Protein Structures

Making Protein folding accessible to all!

Bilingual Language Model for Protein Sequence and Structure

Foldseek enables fast and sensitive comparisons of large structure sets.

⚙️ SpikeHunter: A Deep Learning Tool for Identifying Phage Tailspike Proteins

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Detection of phage RBPs based on protein domains and machine learning

GFF/GTF utility providing format conversions, region filtering, FASTA sequence extraction and more

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville