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This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property c…
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
通过雪球，果仁, 同花顺等等的股票接口，做价值投资的初筛，生成一些有用的图表，辅助股票投资
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Code and data used to create and evaluate LLM4Mat-Bench
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
Official implementation of "Learning the language of protein structures"
A benchmark for comprehensive evaluation on protein structure tokenization methods
Python bindings for the TM-align algorithm and code for protein structure comparison developed by Zhang et al.
MMseqs2: ultra fast and sensitive search and clustering suite
AndroidWorld is an environment and benchmark for autonomous agents
Source code for the paper "Empowering LLM to use Smartphone for Intelligent Task Automation"
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
A trainable PyTorch reproduction of AlphaFold 3.
Code and data for high accuracy assessment in CASP14
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
Implementation of Alphafold 3 from Google Deepmind in Pytorch
Open source code for AlphaFold 2.
AlphaFold 3 inference pipeline.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
本项目为量化开源课程，可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。