ashleve/graph_classification

Stars
28
Rank 882,216 (Top 18 %)
Language
Jupyter Notebook
License
MIT License
Created almost 4 years ago
Updated over 2 years ago

ashleve/graph_classification

ashleve

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

ActiveRagdoll

From-scratch implementation of physically simulated character animation with proportional-integral-derivative controllers (PID)

rootutils

A simple python package to solve all your problems with pythonpath, work dir, file paths, module imports and environment variables.

EvOLuTIoN

A simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes

AI-creatures

Evolving movement of 3d virtual creatures using Unity and machine learning

youtube_multi_video_comment_downloader

A simple python 3 script to download comments from many videos using youtube v3 API

autoroot

An experimental package for python project root setup with just one import!

deep_reinforcement_learning

Clean, single file, minimalistic and easy to read implementations of Deep Reinforcement Learning algorithms

boids

Simulating swarm behaviour of animals like birds and fish, with Python and openGL

sim2real_object_recognition

Experimenting with synthetic data generation for object detection using photogrammetry and Unit Perception Tools.

isaac-gym-for-beginners

User-friendly examples for NVIDIA IsaacGym: Ant, Humanoid, Adverserial Skill Embeddings. Not abstraction heavy.

geometric_deep_learning

Benchmarking Image Classification From Superpixels

Jupyter Notebook

label-propagation

Jupyter Notebook

bash-scripts