bioseq
Caffe
bioseq | Caffe | |
---|---|---|
1 | 6 | |
20 | 33,891 | |
- | 0.2% | |
2.6 | 0.0 | |
19 days ago | 3 months ago | |
C++ | C++ | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bioseq
Caffe
-
List of AI-Models
Click to Learn more...
- Caffe | Deep Learning Framework
- German ad: "Artificial intelligence: the 4 most used drinks will be placed on the main screen"
- How do I install Caffe framework on Mac M1?
-
Una corta intro a las Redes Neuronales Artificiales
Caffe de BAIR
-
Can someone please guide me regarding these different face detection models?
Caffe is a DL framework just like TensorFlow, PyTorch etc. OpenPose is a real-time person detection library, implemented in Caffe and c++. You can find the original paper here and the implementation here.
What are some alternatives?
Caffe2
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
mlpack - mlpack: a fast, header-only C++ machine learning library
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Porcupine - On-device wake word detection powered by deep learning
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
Keras - Deep Learning for humans
SHOGUN - Shōgun
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!