Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
☆30Sep 25, 2021Updated 4 years ago
Alternatives and similar repositories for fast_feedforward_computation
Users that are interested in fast_feedforward_computation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 4 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Mar 15, 2024Updated 2 years ago
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Jan 7, 2020Updated 6 years ago
- Official Repository for Efficient Linear-Time Attention Transformers.☆18Jun 2, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Source-to-Source Debuggable Derivatives in Pure Python☆15Jan 23, 2024Updated 2 years ago
- Advanced Formal Language Theory (263-5352-00L; Frühjahr 2023)☆10Feb 21, 2023Updated 3 years ago
- ☆20May 30, 2024Updated 2 years ago
- Blog post☆17Feb 16, 2024Updated 2 years ago
- Parallel Associative Scan for Language Models☆18Jan 8, 2024Updated 2 years ago
- ☆50Oct 22, 2020Updated 5 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆18Nov 14, 2023Updated 2 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- ☆22Dec 1, 2021Updated 4 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.
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Aug 12, 2023Updated 2 years ago
- Efficient PScan implementation in PyTorch☆17Jan 2, 2024Updated 2 years ago
- AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning (Published in TMLR)☆24Oct 15, 2024Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- ☆11Oct 11, 2023Updated 2 years ago
- A method for evaluating the high-level coherence of machine-generated texts. Identifies high-level coherence issues in transformer-based …☆12Mar 18, 2023Updated 3 years ago
- ☆22Dec 15, 2023Updated 2 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Oct 9, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆22Jun 8, 2021Updated 5 years ago
- Statistical discontinuous constituent parsing☆11Feb 15, 2018Updated 8 years ago
- FlexAttention w/ FlashAttention3 Support☆27Oct 5, 2024Updated last year
- ☆53Jan 6, 2024Updated 2 years ago
- ☆29Jul 9, 2024Updated last year
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆48Oct 31, 2023Updated 2 years ago
- Official Implementation of ACL2023: Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span …☆14Aug 25, 2023Updated 2 years ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Apr 17, 2024Updated 2 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆52Sep 15, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official code for "On Calibrating Diffusion Probabilistic Models"☆30Feb 22, 2023Updated 3 years ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆25Jun 6, 2024Updated 2 years ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆37Aug 14, 2024Updated last year
- Recursive Bayesian Networks☆11May 11, 2025Updated last year
- lanmt ebm☆12Jun 19, 2020Updated 6 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago