Pinned Repositories
js
AVA auto-tracking in JavaScript language example with tensorflowjs
ffmpeg-kit-test
hellofresh
REST API Microframework
MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble o
models
Models and examples built with TensorFlow
neural-network
Нейросеть представляет собой многослойный перцептрон и состоит из трёх слоёв (входной (сенсорный), скрытый и выходной). Нейроны каждого слоя соединены по принципу "каждый с каждым".
patterndesign
Pattern design examples on PHP
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
gundi
phpfox_themex_template
Say hello to the future design of your phpfox social network. ThemeX gives you the best sense of everything you want accomplish. It is a banging phpfox template for social network sites. ThemeX uses all the latest web trends and technologies, like HTML5, CSS3 and Bootstrap for a stable and responsive experience.
bolotkalil's Repositories
bolotkalil/ffmpeg-kit-test
bolotkalil/hellofresh
REST API Microframework
bolotkalil/MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble o
bolotkalil/models
Models and examples built with TensorFlow
bolotkalil/neural-network
Нейросеть представляет собой многослойный перцептрон и состоит из трёх слоёв (входной (сенсорный), скрытый и выходной). Нейроны каждого слоя соединены по принципу "каждый с каждым".
bolotkalil/patterndesign
Pattern design examples on PHP
bolotkalil/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.