SaaSHub helps you find the best software and product alternatives Learn more →
Top 7 cudnn Open-Source Projects
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
-
TensorFlow-object-detection-tutorial
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
-
Ubuntu-Deep-Learning-Environment-Setup
Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Mojo: Ownership and lifetime checks deep dive with Chris Lattner [video] | news.ycombinator.com | 2024-05-13I think I would agree with you. In my opinion, that already exists and is decently mature. CuPy [0] for Python and CUDA.jl [1] for Julia are both excellent ways to interface with GPU that don't require you to get into the nitty gritty of CUDA. Both do their best to keep you at the Array-level abstraction until you actually need to start writing kernels yourself and even then, it's pretty simple. They took a complete GPU novice like me and let me to write pretty performant kernels without having to ever touch raw CUDA.
[0] https://cupy.dev/
Project mention: ChaiNNer – Node/Graph based image processing and AI upscaling GUI | news.ycombinator.com | 2023-07-19There is already an AI framework named Chainer: https://github.com/chainer/chainer
It is a small DSL written using macros at https://github.com/mratsim/Arraymancer/blob/master/src/array....
Nim has pretty great meta-programming capabilities and arraymancer employs some cool features like emitting cuda-kernels on the fly using standard templates depending on backend !
cudnn related posts
-
Mojo: Ownership and lifetime checks deep dive with Chris Lattner [video]
-
CuPy: NumPy and SciPy for GPU
-
Fedora 40 Eyes Dropping Gnome X11 Session Support
-
How does one optimize their functions?
-
Speed Up Your Physics Simulations (250x Faster Than NumPy) Using PyTorch. Episode 1: The Boltzmann Distribution
-
ELI5: Why doesn't numpy work on GPUs?
-
Help!!! Training neural net in vs code
-
A note from our sponsor - SaaSHub
www.saashub.com | 21 May 2024
Index
What are some of the best open-source cudnn projects? This list will help you:
Project | Stars | |
---|---|---|
1 | cupy | 7,817 |
2 | chainer | 5,867 |
3 | dfdx | 1,621 |
4 | Arraymancer | 1,313 |
5 | TensorFlow-object-detection-tutorial | 150 |
6 | Ubuntu-Deep-Learning-Environment-Setup | 49 |
7 | cudnnxx | 8 |
Sponsored