pyshader
lava
| pyshader | lava | |
|---|---|---|
| 1 | 3 | |
| 59 | 504 | |
| - | 2.6% | |
| 0.2 | 8.2 | |
| over 3 years ago | 7 days ago | |
| Python | Jupyter Notebook | |
| BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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pyshader
lava
- GitHub - lava-nc/lava: A Software Framework for Neuromorphic Computing
- Lava v0.4.0 just released, an open source software framework, community contributions encouraged
-
Programmability of neuromorphic chips these days?
Although it looks like Intel is trying hard to bring in the community with their Lava Framework which th why say let’s you develop ‘neuro-inspired’ apps that map to a neurotrophic computer. Might be worth checking out tbh?
What are some alternatives?
scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.
gpustat - 📊 A simple command-line utility for querying and monitoring GPU status
azure-sdk-for-python - This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
Spiking-Neural-Network - Pure python implementation of SNN
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
python-performance - Repository for the book Fast Python - published by Manning
lava - Microsoft Azure Exploitation Framework
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
Pentest-Service-Enumeration - Suggests programs to run against services found during the enumeration phase of a Pentest
Neuromorphic-Computing-Guide - Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.