flin3500 / Cuda-Google-Colab
The cuda code is mainly for nvidia hardware device. This repo will show how to run cuda c or cuda cpp code on the google colab platform for free.
☆23Updated last year
Alternatives and similar repositories for Cuda-Google-Colab:
Users that are interested in Cuda-Google-Colab are comparing it to the libraries listed below
- C++ implementation of a neural network using OpenMP and CUDA for parallelization.☆9Updated 3 years ago
- Inference Llama 2 in one file of pure C☆29Updated last year
- A tool for generating synthetic data.☆20Updated last month
- Learn CUDA with PyTorch☆16Updated 3 weeks ago
- AI Edge Quantizer: flexible post training quantization for LiteRT models.☆23Updated this week
- CUDA Guide☆62Updated last year
- Blazing fast training of 🤗 Transformers on Graphcore IPUs☆85Updated 11 months ago
- Senna is an advanced AI-powered search engine designed to provide users with immediate answers to their queries by leveraging natural lan…☆19Updated 5 months ago
- Deep Learning for Computer Vision☆51Updated 8 months ago
- Training MLP on MNIST in 1.5 seconds with pure CUDA☆44Updated 3 months ago
- ☆10Updated 2 years ago
- A Chrome extension to stylize Google Colab☆24Updated 2 years ago
- ☆16Updated 4 months ago
- [WIP] A 🔥 interface for running code in the cloud☆86Updated last year
- Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.☆37Updated last year
- Methods for creating saliency maps for computer vision models.☆40Updated 6 months ago
- Implementation of paper: ConvNet for the 2020s☆21Updated 2 years ago
- Notes on quantization in neural networks☆69Updated last year
- ☆17Updated last year
- Enabling tinygrad compatibility with the Google Edge TPU☆75Updated 5 months ago
- Simple and easy stable diffusion inference with LightningModule on GPU, CPU and MPS (Possibly all devices supported by Lightning).☆17Updated last year
- Generate python ctypes classes from C headers. Requires LLVM clang☆15Updated 6 months ago
- Google TPU optimizations for transformers models☆98Updated 3 weeks ago
- ☆5Updated this week
- 3X speedup over Apple’s TensorFlow plugin by using Apache TVM on M1☆135Updated 2 years ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆120Updated 6 months ago
- Learn how to create with biology.☆18Updated 2 years ago
- AMD related optimizations for transformer models☆67Updated 3 months ago
- Count GitHub Stars ⭐☆29Updated last month
- 8 Articles and Project Builds to learn Machine Learning Models.☆12Updated last year