AI
Character-level Convolutional Networks for Text Classification论文仿真实现
A 2D convolutional neural network model to predict antigenic variants of influenza A virus through sequence data
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
Generating new proteins using language models
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.
LLaMA: Open and Efficient Foundation Language Models
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Quick Start LLaMA models with multiple methods, and fine-tune 7B/65B with One-Click.
Official repository for the paper "Learning from pre-pandemic data to forecast viral antibody escape"
Machine Learning Predicts Human-adaptative Influenza A Viruses Based on Viral Nucleotide Composition
Generally Adaptive Dinucleotide Composition Representation (DCR) Predicts SARS-CoV-2 VOCs
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
OpenChat: Advancing Open-source Language Models with Imperfect Data
Biological foundation modeling from molecular to genome scale
A generative latent variable model for biological sequence families.
Predicting the Transmission Trend of Respiratory Viruses in New Regions via Geospatial Similarity Learning