davidstutz / pytorch-custom-c-cuda-operationsLinks
Example of easily implementing custom tensor operations in C and CUDA.
☆15Updated 5 years ago
Alternatives and similar repositories for pytorch-custom-c-cuda-operations
Users that are interested in pytorch-custom-c-cuda-operations are comparing it to the libraries listed below
Sorting:
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 3 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year
- ☆80Updated 3 years ago
- ☆102Updated 3 years ago
- Learning about Neural Radiance Fields☆67Updated 3 years ago
- Code for Canonical 3D Deformable Mapping (C3DM) paper☆19Updated 3 years ago
- Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'☆52Updated 5 years ago
- Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matrices☆19Updated 3 years ago
- ☆26Updated last year
- ☆78Updated 4 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆86Updated 4 years ago
- ☆89Updated last year
- Texture mapping with variational auto-encoders☆40Updated 3 years ago
- Unofficial implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, using Flax with the Linen API☆13Updated 3 years ago
- ☆26Updated last year
- 3D Vision functions with end-to-end support for deep learning developers, written in Ivy.☆71Updated last year
- ☆169Updated 4 years ago
- Class material for 3D computer vision at AMMI-AIMS 2021☆24Updated 4 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆35Updated 6 years ago
- ☆23Updated last month
- A small library for doing fluid simulation with neural networks.☆23Updated 3 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆68Updated 2 years ago
- DDSL: Deep Differential Simplex Layer for Neural Networks☆55Updated 4 years ago
- Euclidean distance transform in pytorch☆20Updated last year
- Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis, CVPR 2020☆70Updated 4 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆89Updated 5 months ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 4 years ago
- ☆27Updated 4 years ago
- Official implementation of "Articulation Aware Canonical Surface Mapping"☆68Updated 3 years ago