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Learn how to design, develop, deploy and iterate on production-grade ML applications.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Solve puzzles. Improve your pytorch.
This is code of book "Learn Deep Learning with PyTorch"
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Feature selector is a tool for dimensionality reduction of machine learning datasets
EPFL Course - Optimization for Machine Learning - CS-439
Python tutorials in both Jupyter Notebook and youtube format.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Graph Machine Learning course, Xavier Bresson, 2023
Advanced Data Structures Implementation
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch
Math Course Materials of SUSTech
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
Tutorials for Machine Learning on Graphs
EPFL CH-457 "AI for chemistry"
Neural Networks and Deep Learning, NUS CS5242, 2021
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-m…
A python package for chemical space visualization.
Deep Learning models applied to the analysis of VIS-NIR spectral data
Snippets and data from the blog of Nirpy Research
The course materials for "Machine Learning in Chemistry 101"
NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024
Repository for implementation of generative models with Tensorflow 1.x
A repository containing the build steps for the ccpbiosim workshop on QM/MM