Ofir Bibi

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Compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Repository for OpenCV's extra modules

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

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Deep Learning Dockerfiles

YAD2K: Yet Another Darknet 2 Keras

Converter tools for Core ML.

Torch7 -> CoreML

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A simple, fully convolutional model for real-time instance segmentation.

Fast and simple framework for building and scaling data pipelines. Centralized Hub for machine learning https://snark.ai

Python bindings for LZFSE

Static visualisations for generative algorithm results.

Fully Convolutional Instance-aware Semantic Segmentation

Source code for my blog post "Getting started with TensorFlow on iOS"

A neural network toolkit for Metal

Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.

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Computation using data flow graphs for scalable machine learning

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Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Distributed training framework for TensorFlow.

a language for image processing and computational photography

High-Resolution Image Synthesis with Latent Diffusion Models

PyTorch Lightning Bolts is a community contribution for AI/ML researchers.

CLIP + FFT/DWT/RGB = text to image/video

1.4B latent diffusion model fine tuning

Material for Lightricks workshop in "The Spectrum" course.

Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -

Personal homepage of Ofir Bibi, VP of Research at Lightricks

An example of a neural network trained by tensorflow and executed using BNNS

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A simple iOS example showing how to use the iOS library produced by TensorFlow's makefile.

DilatedNet in Keras for image segmentation

Implemented Unstructured Lumigraph Rendering Algorithm

Models built with TensorFlow

Torch7 Library - Convert NN Models To iOS Format

Torch7 for iOS.

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

openMVG with a LATCH descriptor, an ORB descriptor, DEEP descriptors from the cvpr15compare repo, PNNet/Torch loader and a GPU-based L2 matcher integrated

iOS port of Google's CardboardSDK (mobile VR toolkit)

Low-precision matrix multiplication

Caffe models in TensorFlow

A small tool to dump Caffe's *.caffemodel to JSON for inspection

A minimal high performance parallel neural network framework running on iOS

Multi-View Environment

C++ \ Matlab library for finding face landmarks and bounding boxes in video\image sequences.

GPU implementation of LATCH descriptor & matcher.

Implementation of FAST feature detector for computer vision (Rosten 2006) using AVX2 to outperform canonical implementation by up to 600%.

Fast bruteforce and Multi-Index Hash (MIH) accelerated 2NN matchers for 512-bit binary descriptors for computer vision

Insanely fast, fully scale- and rotation-invariant CUDA LATCH 512-bit binary descriptor for computer vision

Fastest CPU implementation of the LATCH 512-bit binary feature descriptor; fully scale- and rotation-invariant

Matlab implementation of facial landmark detection by deep multi-task learning

Conjoined Triple Deep Network for Learning Local Image Descriptors

Code for the ICCV 2015 paper "Discriminative Learning of Deep Convolutional Feature Point Descriptors"

MXNet WhatThis Example for iOS

A Java based Matlab interface for creating Events and notifications on google calendar

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