Caffe2
faiss-server
Caffe2 | faiss-server | |
---|---|---|
- | - | |
8,443 | 134 | |
- | - | |
0.0 | 0.0 | |
over 5 years ago | 8 months ago | |
Jupyter Notebook | Python | |
- | MIT License |
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.
Caffe2
We haven't tracked posts mentioning Caffe2 yet.
Tracking mentions began in Dec 2020.
faiss-server
We haven't tracked posts mentioning faiss-server yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Caffe - Caffe: a fast open framework for deep learning.
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Porcupine - On-device wake word detection powered by deep learning
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
CoreML-Models - Largest list of models for Core ML (for iOS 11+)
torchlambda - Lightweight tool to deploy PyTorch models to AWS Lambda