htang7415

htang7415's Stars

• bgavran/Category_Theory_Machine_Learning

  List of papers studying machine learning through the lens of category theory

  Language:Python1.3k78

• nimsos-dev/nimsos

  Language:Python151

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++31k7.3k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k4.3k

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.3k1.2k

• MLEveryday/practicalAI-cn

  AI实战-practicalAI 中文版

  Language:Jupyter Notebook3.3k734

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python159k52.7k

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k304

• SeongokRyu/uq_molecule

  Uncertainty quantification of molecular property prediction using Bayesian deep learning

  Language:Python439

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.5k325

• SJTU-MI/IMLforPTC

  Interpretable machine learning for polymer thermal conductivity (IMLforPTC) prediction via physical feature engineering

  Language:Jupyter Notebook103

• coleygroup/molpal

  active learning for accelerated high-throughput virtual screening

  Language:Jupyter Notebook16736

• deepchem/deepchem

  Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

  Language:Python5.6k1.7k

• mrdbourke/tensorflow-deep-learning

  All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

  Language:Jupyter Notebook5.3k2.6k

• Aouidate/Chemoinformatics-tutos

  Compilation of chemoinformatics and machine learning techniques

  Language:Jupyter Notebook5410

• yaringal/ConcreteDropout

  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

  Language:Jupyter Notebook24866

• atilberk/evidential-deep-learning-to-quantify-classification-uncertainty

  Work on Evidential Deep Learning to Quantify Classification Uncertainty

  Language:Jupyter Notebook5718

• dougbrion/pytorch-classification-uncertainty

  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

  Language:Python44661

• jwangjie/Gaussian-Process-Regression-Tutorial

  An Intuitive Tutorial to Gaussian Processes Regression

  Language:Jupyter Notebook562108

• dmorse/simpatico

  Molecular dynamics and Monte Carlo simulation package for polymeric and molecular liquids

  Language:C++3117

• SheffieldML/GPy

  Gaussian processes framework in python

  Language:Python2.1k564