TheStageAI / TorchIntegralLinks
Integral Neural Networks in PyTorch
☆128Updated last year
Alternatives and similar repositories for TorchIntegral
Users that are interested in TorchIntegral are comparing it to the libraries listed below
Sorting:
- Modern Fixed Point Systems using Pytorch☆125Updated 2 years ago
- ☆160Updated last year
- Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…☆207Updated last year
- When it comes to optimizers, it's always better to be safe than sorry☆399Updated 3 months ago
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆158Updated 2 years ago
- NF-Layers for constructing neural functionals.☆93Updated 2 years ago
- Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight☆110Updated 10 months ago
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)…☆291Updated last week
- Visualizing representations with diffusion based conditional generative model.☆103Updated 2 years ago
- CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds☆340Updated last month
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆388Updated 2 years ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆79Updated 2 years ago
- Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"☆381Updated 2 years ago
- PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight☆150Updated 2 years ago
- Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"☆345Updated 3 years ago
- ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC☆147Updated last year
- A simple minimal implementation of Reversible Vision Transformers☆126Updated last year
- [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"☆53Updated last year
- A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)☆304Updated last year
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆109Updated 3 weeks ago
- Use Jax functions in Pytorch☆258Updated 2 years ago
- Code and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"☆125Updated 3 weeks ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆124Updated 4 months ago
- ☆319Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Universal Notation for Tensor Operations in Python.☆456Updated 9 months ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆70Updated last month
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆126Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated 2 weeks ago
- A More Fair and Comprehensive Comparison between KAN and MLP☆178Updated last year