littlepeachs's Stars
datawhalechina/self-llm
《开源大模型食用指南》针对**宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
FoundationVision/VAR
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
facebookresearch/flow_matching
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
pyscf/pyscf
Python module for quantum chemistry
bjing2016/alphaflow
AlphaFold Meets Flow Matching for Generating Protein Ensembles
jannerm/ddpo
Code for the paper "Training Diffusion Models with Reinforcement Learning"
pgmpy/pgmpy_notebook
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
orbital-materials/orb-models
ORB forcefield models from Orbital Materials
rouyang2017/SISSO
A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
janosh/pymatviz
A toolkit for visualizations in materials informatics.
jiaor17/DiffCSP
[NeurIPS 2023] The implementation for the paper "Crystal Structure Prediction by Joint Equivariant Diffusion"
ML-GSAI/DPT
Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
Yeonghun1675/ChatMOF
Predict and Inverse design for metal-organic framework with large-language models (llms)
blondegeek/e3nn_tutorial
repository and website for tutorials on 3d Euclidean equivariant neural networks
aromanro/HartreeFock
A program implementing the Hartree–Fock (also post-HF: MP2, CCSD(T), CIS and TDHF/RPA)/self-consistent field method (also DIIS) with Gaussian orbitals
cyye001/Con-CDVAE
zmyybc/AlphaNet
A Local Frame-based Atomistic Potential
liugangcode/SGIR
[KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"
HICAI-ZJU/InstructProtein
Code and data for the ACL2024 paper "InstructProtein: Aligning Human and Protein Language via Knowledge Instruction".
MasterAI-EAM/Material-Knowledge-Graph
The largest KG for material science
NU-CUCIS/ALIGNNTL
SongtaoLiu0823/CREBM
[ICML 2024] Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
ningliu-iga/TrinityLLM
Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
cxysteven/ScalingProteinLM
learningmatter-mit/liflow
Flow matching for accelerated simulation of atomic transport
ASK-Berkeley/MLFF-distill
[ICLR 2025] Official Implementation of "Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians"
AIRI-Institute/conditional-crystal-generation
frcnt/om-diff
OM-Diff: Inverse-design of organometallic catalysts with guided equivariant denoising diffusion
littlepeachs/SR4Aging
Symbolic Regression in Advancing the Discovery of Aging Mechanisms of Polymer Materials
YongwonJo/SimRegMatch
Deep Semi-Supervised Regression via Pseudo-Label Filtering and Calibration