MaximeVandegar / Papers-in-100-Lines-of-CodeLinks
Implementation of papers in 100 lines of code.
☆1,588Updated 2 weeks ago
Alternatives and similar repositories for Papers-in-100-Lines-of-Code
Users that are interested in Papers-in-100-Lines-of-Code are comparing it to the libraries listed below
Sorting:
- "Deep Generative Modeling": Introductory Examples☆1,208Updated 10 months ago
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆924Updated last year
- Interactive visualizations of the geometric intuition behind diffusion models.☆804Updated last month
- Self-contained, minimalistic implementation of diffusion models with Pytorch.☆1,083Updated 3 years ago
- Simple and readable code for training and sampling from diffusion models☆555Updated last month
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…☆3,101Updated 2 months ago
- Personal short implementations of Machine Learning papers☆250Updated last year
- Creating a diffusion model from scratch in PyTorch to learn exactly how they work.☆371Updated 3 months ago
- UNet diffusion model in pure CUDA☆612Updated last year
- A Simplified PyTorch Implementation of Vision Transformer (ViT)☆194Updated last year
- A curated list of resources on implicit neural representations.☆2,554Updated last year
- Stable Diffusion implemented from scratch in PyTorch☆929Updated 9 months ago
- Schedule-Free Optimization in PyTorch☆2,193Updated 2 months ago
- DiffusionFastForward: a free course and experimental framework for diffusion-based generative models☆656Updated 2 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆142Updated 6 years ago
- This repo implements a Stable Diffusion model in PyTorch with all the essential components.☆219Updated 8 months ago
- Official repository for our work on micro-budget training of large-scale diffusion models.☆1,501Updated 6 months ago
- A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and mor…☆3,010Updated last month
- A simple tutorial of Variational AutoEncoders with Pytorch☆397Updated last year
- ☆465Updated last week
- Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)☆1,349Updated last year
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆2,928Updated 4 months ago
- Graph Machine Learning course, Xavier Bresson, 2023☆613Updated 11 months ago
- This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing th…☆888Updated 3 months ago
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆396Updated 3 months ago
- torchview: visualize pytorch models☆969Updated 2 months ago
- Implementing DeepSeek R1's GRPO algorithm from scratch☆1,496Updated 3 months ago
- This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch☆139Updated 8 months ago
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆228Updated 6 months ago
- Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"☆429Updated 7 months ago