Open single and half precision gemm implementations
☆397Apr 2, 2023Updated 2 years ago
Alternatives and similar repositories for openai-gemm
Users that are interested in openai-gemm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Acceleration package for neural networks on multi-core CPUs☆1,702Jun 11, 2024Updated last year
- Low-precision matrix multiplication☆1,835Jan 29, 2024Updated 2 years ago
- PyTorch bindings for openai-gemm☆20Feb 6, 2017Updated 9 years ago
- Low precision Torch nn library using uint8_t GEMM (experiment)☆19Mar 13, 2016Updated 10 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Apr 20, 2017Updated 8 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.
- Assembler for NVIDIA Maxwell architecture☆1,059Jan 3, 2023Updated 3 years ago
- Fast Recurrent Networks Library☆578Sep 20, 2016Updated 9 years ago
- THE Deep Learning Benchmarks☆351Nov 2, 2016Updated 9 years ago
- Torch FFI-bindings for NNPACK☆31May 26, 2017Updated 8 years ago
- Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)☆174Nov 3, 2016Updated 9 years ago
- ☆11Jan 22, 2015Updated 11 years ago
- Chef cookbooks for managing a Ceph cluster☆12Apr 2, 2023Updated 2 years ago
- Benchmarking Deep Learning operations on different hardware☆1,103Apr 25, 2021Updated 4 years ago
- Code and models from the paper "Layer Normalization"☆243Nov 8, 2016Updated 9 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.
- An implementation of the deep convolutional generative adversarial network, combined with a varational autoencoder☆109Mar 18, 2017Updated 9 years ago
- Intel® Nervana™ reference deep learning framework committed to best performance on all hardware☆3,870Dec 23, 2020Updated 5 years ago
- Some handy utility libraries and tools for the Caffe deep learning framework.☆460Feb 4, 2019Updated 7 years ago
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆627Feb 9, 2026Updated last month
- Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/…☆396Mar 22, 2019Updated 7 years ago
- image encoder☆13Sep 19, 2016Updated 9 years ago
- Easy benchmarking of all publicly accessible implementations of convnets☆2,688Jun 9, 2017Updated 8 years ago
- Computation Graph Toolkit☆634Apr 10, 2018Updated 7 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137May 8, 2017Updated 8 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.
- ☆1,653Sep 11, 2018Updated 7 years ago
- OptNet - Reducing memory usage in torch neural nets☆282Apr 19, 2017Updated 8 years ago
- NumPy interface with mixed backend execution☆1,100Feb 19, 2018Updated 8 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆110Mar 26, 2017Updated 8 years ago
- Efficient GPU kernels for block-sparse matrix multiplication and convolution☆1,064Jun 8, 2023Updated 2 years ago
- visualizing what ConvNets learn with camera☆88Sep 30, 2015Updated 10 years ago
- neon implementation of SegNet☆13Jan 3, 2023Updated 3 years ago
- Review Network for Caption Generation☆181Jan 2, 2018Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Aug 29, 2017Updated 8 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.
- Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"☆146Nov 22, 2018Updated 7 years ago
- Library for specialized dense and sparse matrix operations, and deep learning primitives.☆946Mar 18, 2026Updated last week
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆307Aug 8, 2017Updated 8 years ago
- 2016 ActivityNet action recognition challenge. CNN + LSTM approach. Multi-threaded loading.☆53Jul 30, 2016Updated 9 years ago
- Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.☆159Nov 22, 2016Updated 9 years ago
- tutorial to optimize GEMM performance on android☆51Feb 17, 2016Updated 10 years ago
- Tutorial code on how to build your own Deep Learning System in 2k Lines☆2,014Oct 4, 2018Updated 7 years ago