CodonTransformer: The ultimate tool for codon optimization, optimizing DNA sequences for heterologous protein expression across 164 species.

Tidy Plots for Scientific Papers

Chai-1, SOTA model for biomolecular structure prediction

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

Open source code for AlphaFold 2.

Fitness landscapes for antibodies

open source code for Tencent tFold

✍ WeChat Markdown Editor | 一款高度简洁的微信 Markdown 编辑器：支持 Markdown 语法、色盘取色、多图上传、一键下载文档、自定义 CSS 样式、一键重置等特性

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

Minimal Implementation of a D3PM in pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

A short course on proteins and protein design aimed at early career students

Predict the structure of immune receptor proteins

A collection of resources and papers on Diffusion Models

Saprot: Protein Language Model with Structural Alphabet (AA+3Di)

A probabilistic model to cluster survival data in a variational deep clustering setting

A deep dive into embeddings starting from fundamentals

Learning Rate Warmup in PyTorch

A macOS native style theme for Zed, let it same like native app in macOS.

Methods and Implements of Deep Clustering

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

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…

There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Joint variant calling with GATK4 HaplotypeCaller, Google DeepVariant 1.0.0 and Strelka2, coordinated via Snakemake.

Automatically split your PyTorch models on multiple GPUs for training & inference