gmarkall / life-of-a-numba-kernelView external linksLinks
Worked example of the process from Python source to CUDA kernel execution with Numba
☆45Sep 11, 2024Updated last year
Alternatives and similar repositories for life-of-a-numba-kernel
Users that are interested in life-of-a-numba-kernel are comparing it to the libraries listed below
Sorting:
- CUDA 12.2 HMM demos☆20Jul 26, 2024Updated last year
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Mar 15, 2024Updated last year
- Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)☆13Jun 11, 2025Updated 8 months ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19May 8, 2025Updated 9 months ago
- An informal list of libraries, programs, examples, and benchmarks using the Numba CUDA target☆16Sep 28, 2023Updated 2 years ago
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Jan 7, 2020Updated 6 years ago
- Advanced Formal Language Theory (263-5352-00L; Frühjahr 2023)☆10Feb 21, 2023Updated 2 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Aug 12, 2023Updated 2 years ago
- Triton Implementation of HyperAttention Algorithm☆48Dec 11, 2023Updated 2 years ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Apr 17, 2024Updated last year
- Combining SOAP and MUON☆19Feb 11, 2025Updated last year
- Official Code Repository for the paper "Key-value memory in the brain"☆31Feb 25, 2025Updated 11 months ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32May 25, 2024Updated last year
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Oct 9, 2022Updated 3 years ago
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Jan 7, 2025Updated last year
- Code for the paper: How Much Context Does My Attention-Based ASR System Need?☆11Jan 28, 2026Updated 3 weeks ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Aug 6, 2023Updated 2 years ago
- ☆13Apr 15, 2024Updated last year
- Source-to-Source Debuggable Derivatives in Pure Python☆15Jan 23, 2024Updated 2 years ago
- 方便扩展的Cuda算子理解和优化框架，仅用在学习使用☆18Jun 13, 2024Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆70Sep 25, 2024Updated last year
- Parallel Associative Scan for Language Models☆18Jan 8, 2024Updated 2 years ago
- Blog post☆17Feb 16, 2024Updated 2 years ago
- ☆20May 30, 2024Updated last year
- Official Repository for Efficient Linear-Time Attention Transformers.☆18Jun 2, 2024Updated last year
- AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning (Published in TMLR)☆23Oct 15, 2024Updated last year
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆15Aug 2, 2019Updated 6 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Feb 14, 2023Updated 3 years ago
- A PyTorch wrapper of parallel exclusive scan in CUDA☆12May 25, 2023Updated 2 years ago
- Numba compatible SCFG (Structured Control Flow Graphs) utilities.☆26Feb 2, 2026Updated 2 weeks ago
- Efficient PScan implementation in PyTorch☆17Jan 2, 2024Updated 2 years ago
- Source code for CoNLL 2021 paper by Huebner et al. 2021☆20Jul 13, 2023Updated 2 years ago
- Inference Llama 2 in one file of pure Cuda☆17Aug 20, 2023Updated 2 years ago
- ☆45Apr 30, 2018Updated 7 years ago
- Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719☆22Jun 5, 2024Updated last year
- More than Just Words: Modeling Non-textual Characteristics of Podcasts☆26Nov 6, 2019Updated 6 years ago
- ☆22Dec 15, 2023Updated 2 years ago
- Parallelizing non-linear sequential models over the sequence length☆56Jun 23, 2025Updated 7 months ago
- ☆53Jan 6, 2024Updated 2 years ago