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ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlcgmd

Simulate time-integrated coarse-grained MD with graph neural network world models (graphwm)

mpm

Material-Point-Methods in Julia

mpm-julia

Julia implementation of the material point method (MPM)

msn-point-cloud-completion

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

network-visualization

Python network visualization app using NetworkX, Plotly, Dash

neuralforcefield

Neural Network Force Field based on PyTorch

nri

Neural relational inference for interacting systems - pytorch

onnx

Open standard for machine learning interoperability

papers_for_protein_design_using_dl

List of papers about Proteins Design using Deep Learning

phygeonet

PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain

pna

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

point-cloud-utils

A Python library for common tasks on 3D point clouds

pointflow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

pvd

pycon_cl_taller

pytorch-geometric-with-pytorch-lightning

Basic example onto the way Pytorch Geometric can be used with Pytorch Lightning.

pytorch-reptile-on-first-order-meta-learning-algorithms

Reimplementation of papers : On First-Order Meta-Learning Algorithms

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

pyvis-network-graph-streamlit

Deploying Pyvis Interactive Network Graphs in Streamlit

rad

RAD: Reinforcement Learning with Augmented Data

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reptile-pytorch

riemannian-score-sde

Score-based generative models for compact manifolds

rigid_transform_3d

roma

RoMa: A lightweight library to deal with 3D rotations in PyTorch.

same

Code for the paper: "A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings", D. Buffelli & F. Vandin, presented at the NeurIPS Workshop on Meta-Learning (MetaLearn) 2020.

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

scorediffusionmodel

The Pytorch Tutorial of Score-based and Diffusion Model