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  1. ollm ollm Public

    End-to-End Ontology Learning with Large Language Models, NeurIPS 2024.

    Python 15

  2. cuda-mnist cuda-mnist Public

    Training MLP on MNIST in 1.5 seconds with pure CUDA

    Cuda 43

  3. simpleGEMM simpleGEMM Public

    The simplest but fast implementation of matrix multiplication in CUDA.

    Cuda 34 3

  4. sparse-dropout sparse-dropout Public

    SparseDrop is a simple, structured, and hardware-friendly variant of dropout that can benefit from sparsity on GPUs.

    Python

  5. jax-diffusion jax-diffusion Public

    Implementation of Denoising Diffusion Probabilistic Models (DDPM) in JAX and Flax.

    Python 15

  6. jax-flow-matching jax-flow-matching Public

    Python