Code for visualizing the loss landscape of neural nets
☆3,197Apr 5, 2022Updated 4 years ago
Alternatives and similar repositories for loss-landscape
Users that are interested in loss-landscape are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆360Nov 30, 2023Updated 2 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆285Oct 24, 2022Updated 3 years ago
- Create animations for the optimization trajectory of neural nets☆163Jan 30, 2024Updated 2 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆793Jul 10, 2025Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,170Mar 22, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,982Feb 21, 2024Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,385Mar 1, 2024Updated 2 years ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆37,066Updated this week
- Efficient PyTorch Hessian eigendecomposition tools!☆474Aug 9, 2026Updated last week
- Pytorch implementation of convolutional neural network visualization techniques☆8,229Jan 1, 2025Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,990Updated this week
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 4 years ago
- ☆640Jul 24, 2026Updated 3 weeks ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,573Jul 5, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An optimizer that trains as fast as Adam and as good as SGD.☆2,903Jul 23, 2023Updated 3 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,996Jul 14, 2026Updated last month
- Differentiable architecture search for convolutional and recurrent networks☆3,995Jan 3, 2021Updated 5 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆990Jul 17, 2026Updated 3 weeks ago
- Latex code for making neural networks diagrams☆24,946Aug 21, 2023Updated 2 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆684Dec 31, 2019Updated 6 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,173Aug 24, 2022Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,473Apr 4, 2025Updated last year
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,719Jul 6, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Model interpretability and understanding for PyTorch☆5,685Updated this week
- On the Variance of the Adaptive Learning Rate and Beyond☆2,548Jul 31, 2021Updated 5 years ago
- A Python toolbox for performing gradient-free optimization☆4,201Jul 24, 2026Updated 3 weeks ago
- Codebase for Image Classification Research, written in PyTorch.☆2,161Mar 20, 2024Updated 2 years ago
- 95.47% on CIFAR10 with PyTorch☆6,422Feb 24, 2023Updated 3 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,286Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,775Updated this week
- Count the MACs / FLOPs of your PyTorch model.☆5,079Jul 8, 2024Updated 2 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆508Jan 20, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,061Jul 17, 2023Updated 3 years ago
- The author's officially unofficial PyTorch BigGAN implementation.☆2,924Jul 19, 2023Updated 3 years ago
- A curated list of awesome self-supervised methods☆6,411Feb 24, 2026Updated 5 months ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆946Jan 11, 2024Updated 2 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,098Apr 22, 2022Updated 4 years ago
- Implementations of ideas from recent papers☆389Dec 22, 2020Updated 5 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,686Apr 8, 2024Updated 2 years ago