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.
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
- vulkan
- vulkan-compute
- vulkan-example
- vulkan-tutorial
Reinforcement Learning environments based on the 1993 game Doom :godmode:
- deep-learning
- reinforcement-learning
- python
- vizdoom
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- tensorflow-android
- machine-learning
The codes I made while I practiced various TensorFlow examples
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- mnist-classification
- mnist
A curated list of awesome resources for adversarial examples in deep learning
- deep-learning
- security
- adversarial-examples
- machine-learning
:camera: Simple Ionic app using ocrad.js
examples from "Thoughtful Machine Learning"
- rubyml
Examples of Tensorflow Lite on Android
- tensorflow
- tensorflow-lite
- kotlin-android
- android
Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
- tensorlayer
- dagger
- gym-torcs
- imitation-learning
📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀
- android
- tflite
- tensorflow
- tensorflow-lite
Yuka Game AI + 3D rendering with Babylon.js
- javascript
- game-ai
- ai
- game-development
An example of CoreML using a pre-trained VGG16 model
- swift
- coreml
- ios11
- xcode9
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Example of reinforcement learning using q-learning to teach an AI to play a game in Rub
- ruby
- rubyml
- ai
- q-learning
Flutter TF Segmentation is an example app that uses Flutter for the ios/android app and uses TensorFlow Lite for Image segmentation.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
- tensorflow
- tensorflow2
- watermarking
- neural-network