Stars
This repository contains demos I made with the Transformers library by HuggingFace.
Collect and summarize point cloud sota methods.
Official implementation of "LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching"
Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
3D U-Net model for volumetric semantic segmentation written in pytorch
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
A complete computer science study plan to become a software engineer.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
[ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"
GPU Accelerated t-SNE for CUDA with Python bindings
Universal LLM Deployment Engine with ML Compilation
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
Latent Point Diffusion Models for 3D Shape Generation
A collection of resources and papers on Diffusion Models
Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…
Neural Style and MSG-Net
PyTorch implementation of AnimeGANv2
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Google Colaboratory Notebooks and Repositories (by @firmai)