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ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

aiddcomp

awesome-docking

An awesome & curated list of docking papers

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-protein-representation-learning

Awesome Protein Representation Learning

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

e3_diffusion_for_molecules

equivariant diffusion model for 3D molecular generation

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

en-transformer

Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network

equiformer_v2

[arXiv'23] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

famo

Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)

geometric-gnns

List of Geometric GNNs for 3D atomic systems

lifelonglearning

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

mean

This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.

minigpt-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

morethan-log

😎 A static blog using notion database

pifold

The official implementation of the ICLR'2023 paper PiFold: Toward effective and efficient protein inverse folding.

proteinmpnn

Code for the ProteinMPNN paper

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

pytorch_tutorials

PyTorch tutorials.

qip

Quantum-informed Molecular Representation Learning Enhancing ADMET Property Prediction

simpleformer

Transformer architecture exercise

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch