Largest list of models for Core ML (for iOS 11+)
- coreml
- coreml-model
- apple
- machine-learning
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Largest list of models for Core ML (for iOS 11+)
Examples built with TensorFlow.js
A course in reinforcement learning in the wild
A list of interesting payloads, tips and tricks for bug bounty hunters.
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A best practice for tensorflow project template architecture.
Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.
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
A curated list of awesome tools, resources and workflow tips making an awesome development environment.
TensorFlow Tutorials
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
A curated list of awesome links and software libraries that are useful for robots.
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
A collection of computer vision pre-trained models.
Linux Binary Exploitation
learn code with tensorflow
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
full guide to help you integrate AI in your workflow, for both beginners and experienced users