abel1231 Goto Github PK

abel1231.github.io

admc

Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

diffuseq

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

diffusion-lm

Diffusion-LM

esl_solution

gckn

Pytorch Implementation of Graph Convolutional Kernel Networks

generative-quantum-states

Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"

gntk

Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graphqntk

graphsage

graphsage-simple

heu_kms_activator

idgl

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

kernelgcn

mobaxterm-keygen

A keygen for MobaXterm

naqs-for-quantum-chemistry

Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".

neural-tangents

Fast and Easy Infinite Neural Networks in Python

nri

Neural relational inference for interacting systems - pytorch

optimization

povm_genmodel

Reconstructing quantum states with generative models

qpe-data

The generated data for quantum property estimation

quantum-deep-neural-network

Quantum algorithm to train an infinite-width deep neural network

test

trackerslistcollection

🎈 Updated daily! A list of popular BitTorrent Trackers! / 每天更新！全网热门 BT Tracker 列表！

transformer_quantum_state

An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems

vmc_with_lptfs

Code accompanying "Large Language Models for Variational Monte Carlo"

vqe-qa