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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WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
- asr
- speech
- speech-recognition
- speech-to-text
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.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
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
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
- adaptive-learning
- machine-learning
- python
- live-plots
Sample applications built using AWS' Amazon Machine Learning.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
- graph
- graph-sampling
- network-sampling
- random-walk
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
Image quality is an open source software library for Image Quality Assessment (IQA).
- artificial-intelligence
- machine-learning
- image-quality-assessment
- computer-vision
Seamless long-form MiniMax H3 video generation for ComfyUI with native AV latent continuity, chunked sampling, session resume, and Spectrum/Sage/Sol compatibility.
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
Arduino Text-to-Speech Library
- text-to-speech
- arduino
- tts
- speech
examples from "Thoughtful Machine Learning"
- rubyml
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.
An Elixir Evolutive Neural Network framework à la G.Sher
- elixir
- actuators
- sensor
- mutations
Simplifying image manipulation using GDI, Graphics32, OpenCV or Vampyre Imaging libraries
Examples of Tensorflow Lite on Android
- tensorflow
- tensorflow-lite
- kotlin-android
- android