Models
Section: The Gold · Big list of models in Caffe format.
SlowScore 58
Entry
Caffe
Appears in 10 awesome lists
is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
Open github.combvlc/caffe
Found in these lists
Awesome C++
Section: Machine Learning · A fast framework for neural networks. [BSD]
FreshScore 94
Awesome LLMOps
Section: Frameworks for Training · A fast open framework for deep learning.
ActiveScore 75
Awesome Machine Learning
Section: C++ · A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]
FreshScore 93
Awesome Python Data Science
Section: Others · A fast open framework for deep learning.
ActiveScore 71
开发实战资源整合
Section: Web 后端 · 一个关于数据挖掘的库
StaleScore 48
Deep Learning Model Convertors
Section: General · mxnet/tools/caffe_converter ResNet_caffe2mxnet MMdnn
StaleScore 44
Table of Contents
Section: ML frameworks & applications · is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
SlowScore 61
awesome-cpp
Section: Machine Learning Frameworks · Caffe: a fast open framework for deep learning.
FreshScore 79
Table of Contents
Section: ML Frameworks, Libraries, and Tools · is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
SlowScore 51
Often listed next to it
TensorFlow
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
In 23 listsDetails
m2cgen
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
In 16 listsDetails
PyTorch
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
In 16 listsDetails
Colossal-AI
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
In 14 listsDetails
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, Flink and DataFlow. [Apache2]
In 11 listsDetails
TensorFlow-Slim
Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.
In 12 listsDetails
scikit-learn
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.
In 10 listsDetails