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Slobodan Blazeski's starred repositories

WillmoreFlow

Python implementation of Willmore flow for surface fairing.

Language:PythonMIT200

A simple Delaunay mesh generator based on the Bowyer-Watson algorithm. I have based my code on the pseudocode present in the Wikipedia page. I have viewed other people's code and I believe this code is simpler and easier to understand the algorithm. This is an incremental algorithm and it is slower than the Divide and conquer method available.

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zero123plus

Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

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continuous-remeshing

Continuous Remeshing For Inverse Rendering

Language:PythonMIT40700

Unique3D

Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

Language:PythonMIT257300

intro_dgm

"Deep Generative Modeling": Introductory Examples

Language:Jupyter NotebookMIT96700

ema-pytorch

A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model

Language:PythonMIT44600

random-fourier-features-pytorch

Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.

Language:PythonMIT7400

ManimApproximations

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convnext-v2-pytorch

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torchmcubes

Marching cubes implementation for PyTorch environment.

Language:CudaMPL-2.018900

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

Language:PythonMIT222500

python-3d-analysis-libraries

Repository for the code used in the Medium articles about Python libraries for 3D analysis, visualization and manipulation of point clouds and meshes

Language:PythonGPL-3.07700

PPO-pytorch

This repository contains the source code pytorch realization of PPO for solving openai gym enviroments.

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Resizer

The only way to resize images

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PPO-for-Beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

Language:PythonMIT68700

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Language:PythonNOASSERTION497700