AlexHeustc

AlexHeustc's Stars

• saiscn/QO2Mol

  Language:Python12

• WeNeedHome/SummaryOfLoanSuspension

  全国各省市停贷通知汇总

  Language:HTML20.8k2.2k

• gomesgroup/coscientist

  Language:Python15523

• lucidrains/vit-pytorch

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

  Language:Python20.7k3.1k

• Tramac/paper-reading-note

  和李沐一起读论文

  13220

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.1k3.2k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.3k2.3k

• Hoper-J/AI-Guide-and-Demos-zh_CN

  这是一份入门AI/LLM大模型的逐步指南，包含教程和演示代码，带你从API走进本地大模型部署和微调，代码文件会提供Kaggle或Colab在线版本，即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡，你可以尝试在里面实验一些有意思的AI脚本。同时，包含李宏毅 (HUNG-YI LEE）2024生成式人工智能导论课程的完整中文镜像作业。

  Language:Python17518

• hsd1503/resnet1d

  PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

  Language:Python43197

• LixiangHan/GANs-for-1D-Signal

  implementation of several GANs with pytorch

  Language:Python14024

• ur-whitelab/chemcrow-public

  Chemcrow

  Language:Python62693

• km1994/LLMs_interview_notes

  该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

  1.5k106

• MilesZhao/PGCGM

  Source code for generating materials with 20 space groups using PGCGM

  Language:Python316

• rdbraatz/data-driven-prediction-of-battery-cycle-life-before-capacity-degradation

  Code for Nature energy manuscript

  Language:Jupyter Notebook488195

• XiuzeZhou/NASA

  Analysis for NASA data sets

  Language:Jupyter Notebook12541

• microsoft/BatteryML

  Language:Jupyter Notebook510108

• AllenDowney/ThinkDSP

  Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

  Language:Jupyter Notebook4k3.2k

• ziyuanrao11/Machine-learning-enabled-high-entropy-alloy-discovery

  This is the code for the paper 'Machine learning-enabled high-entropy alloy discovery'

  Language:Python6211

• Long1Corn/GRxnODE

  Language:Jupyter Notebook32

• pybamm-team/PyBaMM

  Fast and flexible physics-based battery models in Python

  Language:Python1.1k547

• superlouis/GATGNN-VOLTAGE

  This software package implements the pytorch adaption of GATGNN-Voltage for the problem voltage prediction.

  Language:Python5

• ehoogeboom/e3_diffusion_for_molecules

  Language:Python445112

• sim42/SCML

  Scientific Computing and Machine Learning - Online Course by DeepThought Science

  Language:Jupyter Notebook3711

• kjappelbaum/awesome-chemistry-datasets

  overview of datasets for ML in chemistry

  26228

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k9.5k

• learningmatter-mit/MLElectrolytes

  DFT Electrolyte dataset

  3

• simongravelle/lammps-input-files

  LAMMPS inputs and data files

  23297

• DLLXW/baby-llama2-chinese

  用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

  Language:Python2.5k312

• ajz34/Py_xDH

  Document and code of python and PySCF approach XYG3 type of density functional 2nd-derivative realization

  Language:Python5914

• materialsvirtuallab/matgl

  Graph deep learning library for materials

  Language:Python27764