Structured matrices for compressing neural networks
☆67Oct 5, 2023Updated 2 years ago
Alternatives and similar repositories for structured-nets
Users that are interested in structured-nets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Butterfly matrix multiplication in PyTorch☆180Oct 5, 2023Updated 2 years ago
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆17Jan 7, 2025Updated last year
- Jax implementation of "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆15May 10, 2024Updated 2 years ago
- Code for the NeurIPS 2021 paper "Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networkst"☆14Sep 12, 2022Updated 3 years ago
- A reimplementation of NSynth in PyTorch.☆14Dec 12, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of Spectral State Space Models☆16Feb 23, 2024Updated 2 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Dec 4, 2019Updated 6 years ago
- A Triton Kernel for incorporating Bi-Directionality in Mamba2☆83Dec 18, 2024Updated last year
- Running massive simulations using RNNs on CPUs for building bots and all kinds of things.☆12Jun 13, 2021Updated 5 years ago
- ☆20Aug 16, 2021Updated 4 years ago
- A fast data loader for ImageNet on PyTorch.☆18Mar 17, 2019Updated 7 years ago
- ☆14Apr 1, 2025Updated last year
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Sep 2, 2024Updated last year
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆37Mar 9, 2024Updated 2 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.
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Sep 5, 2020Updated 5 years ago
- Code for "Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation"☆13Jul 10, 2020Updated 6 years ago
- Implementation of DiffWave and SaShiMi audio generation models☆128Apr 4, 2023Updated 3 years ago
- [alpha] Expose Julia functions to PyTorch☆15Aug 9, 2019Updated 6 years ago
- The pytorch implementation of paper: A Graph-Enhanced Click Model for Web Search☆15Nov 17, 2021Updated 4 years ago
- Code for the paper☆11May 24, 2024Updated 2 years ago
- Kronecker Production Matrix for Approximate Nearest Neighbour Search☆12Sep 23, 2015Updated 10 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Nov 7, 2017Updated 8 years ago
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆21Jan 16, 2019Updated 7 years 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.
- Mini-batch multiplicative updates for beta-NMF☆15Jun 27, 2017Updated 9 years ago
- ☆165Jan 24, 2023Updated 3 years ago
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated 2 years ago
- ☆10Jul 21, 2021Updated 5 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Oct 11, 2023Updated 2 years ago
- Neural Speech Codec☆26Jan 25, 2021Updated 5 years ago
- Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆22Apr 13, 2020Updated 6 years ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆62Sep 3, 2025Updated 10 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Feb 25, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A fast union-find data structure for Python.☆11Mar 10, 2015Updated 11 years ago
- pytorch implementation of wavenet autoencoder https://arxiv.org/pdf/1704.01279.pdf☆12Jul 25, 2018Updated 7 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Jul 13, 2019Updated 7 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆614Updated this week
- Self-normalizing neural network implemented in PyTorch.☆12Apr 3, 2019Updated 7 years ago
- Source code for learning and evaluation different quantzation methods☆26Jun 10, 2015Updated 11 years ago
- ☆52Jan 28, 2024Updated 2 years ago