marty1885/tiny-htm
A tiny yet flexable framework for (HTM) Hierarchical Temporal Memory
This framework helps researchers and practitioners build and experiment with Hierarchical Temporal Memory (HTM) models, which are a type of brain-inspired artificial intelligence. You can feed it various data patterns to learn and predict sequences. It's designed for AI researchers, data scientists, and anyone exploring advanced machine learning for pattern recognition.
No commits in the last 6 months.
Use this if you are developing or researching advanced AI models that need to recognize complex patterns and sequences in data, particularly those inspired by biological intelligence.
Not ideal if you need a fully mature, production-ready HTM solution with extensive documentation and stable APIs, as this project is in early development.
Stars
7
Forks
4
Language
C++
License
BSD-3-Clause
Category
Last pushed
Apr 14, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/marty1885/tiny-htm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
apache/tvm
Open Machine Learning Compiler Framework
uxlfoundation/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
OpenMined/TenSEAL
A library for doing homomorphic encryption operations on tensors
iree-org/iree-turbine
IREE's PyTorch Frontend, based on Torch Dynamo.