Real numbers, data science and chaos: How to fit any dataset with a single parameter
☆650Nov 22, 2022Updated 3 years ago
Alternatives and similar repositories for single-parameter-fit
Users that are interested in single-parameter-fit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆90Apr 24, 2019Updated 7 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆508Jan 20, 2020Updated 6 years ago
- A Python toolbox for performing gradient-free optimization☆4,195Mar 16, 2026Updated 3 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Implementation of Spectral Inference Networks, ICLR 2019☆171May 23, 2019Updated 7 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆192Sep 28, 2022Updated 3 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,015Jun 5, 2026Updated 3 weeks ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,895Jun 8, 2026Updated 3 weeks ago
- Bayesian optimization in PyTorch☆3,562Jun 23, 2026Updated last 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
- Adaptive Experimentation Platform☆2,771Updated this week
- This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.☆1,957Dec 23, 2024Updated last year
- An open source python library for scalable Bayesian optimisation.☆894Jun 19, 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.
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,023Jan 19, 2021Updated 5 years ago
- We provide a pre-trained model for unconditional 19-step generation of CelebA-HQ images☆334Oct 29, 2019Updated 6 years ago
- 🌊 Numerically solving and backpropagating through the wave equation☆542Feb 8, 2020Updated 6 years ago
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆393May 28, 2021Updated 5 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Jun 6, 2018Updated 8 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆614Nov 28, 2025Updated 7 months ago
- Pytorch implementation of Block Neural Autoregressive Flow☆184Aug 19, 2021Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆556Feb 9, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A collection of infrastructure and tools for research in neural network interpretability.☆4,707Feb 6, 2023Updated 3 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Aug 6, 2018Updated 7 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Build Graph Nets in Tensorflow☆5,403Dec 12, 2022Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894May 12, 2024Updated 2 years ago
- Efficiently computes derivatives of NumPy code.☆7,505Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,537May 31, 2026Updated last month
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 years ago
- 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.
- Differentiable convex optimization layers☆2,106May 19, 2026Updated last month
- Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"☆322Jun 24, 2019Updated 7 years ago
- Named Tensor implementation for Torch☆449Jul 29, 2022Updated 3 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆164Sep 16, 2021Updated 4 years ago
- Notes from ICLR 2019☆25May 10, 2019Updated 7 years ago
- Guided Evolutionary Strategies☆273Apr 6, 2023Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,279Jan 4, 2021Updated 5 years ago