hanchenchen

ab_opt

Official implementation of Generative Diffusion Models for Antibody Design, Docking, and Optimization.

ProTrek

ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning

SaprotHub

SaprotHub: Making Protein Modeling Accessible to All Biologists

2022-NIPS-Tenrec

Books

Some special ebooks

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

frontiers_in_AI_course

Clash-For-Ubuntu

clash for unbuntu tutorial

DL-Course-2024

Official Repository for Westlake Deep Learning Course (2024)

unified-io-2

papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

MM-REACT

Official repo for MM-REACT

NineRec

Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

PixelRec

A Large-scale Multimodal Dataset for recommender System

MicroLens

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

SaProt

[ICLR'24 spotlight] Saprot: Protein Language Model with Structural Alphabet

IDvs.MoRec

End-to-end Training for Multimodal Recommendation Systems

Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review

Paper List of Pre-trained Foundation Recommender Models

learning_research

本人的科研经验

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Research_Methodology_of_Computer_Science_and_Technology

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

RRHF

[NIPS2023] RRHF & Wombat

binding-ddg-predictor

open source repository

protein-sequence-diffusion-model

diffusion model for protein sequence generation

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

PORPOISE

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

efficient-evolution

Efficient evolution from protein language models

NaroNet

Trained only with subject-level labels, NaroNet discovers phenotypes, neighborhoods, and areas with the highest influence when classifying subject types.

MultiModalBrainSurvival