TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
Repository Index
47,133 repositories indexed
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Open standard for machine learning interoperability
NumPy & SciPy for GPU
- cuda
- cudnn
- cublas
- cusolver
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
header only, dependency-free deep learning framework in C++14
- c-plus-plus
- deep-learning
- machine-learning
- neural-network
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
- performance
- cpp
Supporting your devops by shortening your strings using common abbreviations and clever guesswork
- golang
- go
- abbreviations
- common-abbreviations
Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
- clojure
- computer-vision
- kotlin
- opencv
ruby-dnn is a ruby deep learning library.
Command line, offline, access to HTTP status code, common header, and port references
Super simple tool to help with orchestration of commands on the CLI by waiting on networking resources.
- go
Generate PlantUML diagrams from Chrome or Firefox network inspections
- go
- golang
- plantuml
- chrome
Prototype of an intelligent safety system for detecting driver drowsiness
- cpp
- cuda
- cudnn
- driver-drowsiness-detector
🗺 General purpose U-Network implemented in Keras for image segmentation
- tensorflow
- cv
- cnn
- dnn