❤️ A simple, dark-themed JavaScript binary-to-decimal and decimal-to-binary converter. Supports full IP address conversions, not just single octets.
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Updated
Dec 14, 2025 - HTML
❤️ A simple, dark-themed JavaScript binary-to-decimal and decimal-to-binary converter. Supports full IP address conversions, not just single octets.
📥 Extract and organize AV metadata from multiple sites, streamlining your media library for software like Emby, Jellyfin, and Kodi.
TensorFlow-like Deep Learning Library (For Roblox And Pure Lua).
Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.
🤖✏️ A Twitter bot written in Python trained with a recurrent neural network.
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images
Official implementation of NeuroSSM: A Multi-Scale Differential State-Space Model for fMRI Analysis
A collection of 25+ PyTorch-compatible implementations of recurrent layers
A comprehensive collection of 35+ recurrent neural network layers for Flux.jl
Modular deep learning model for multivariate time series classification
Implementation of Liquid Nets in Pytorch
Repository for capstone project in United International University titled Multi-layer Embedded Video Anomaly Detection using Attention Driven Recurrence
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
An analog circuit of a neural network to be used as a weighted order statistic filter
My ML learning journey via FCC
Machine learning process to predict financial instrument prices up to 3 days
C++ Implementation of PyTorch Tutorials for Everyone
Coherent Symbolic-Recursive Intelligence framework
Practical project for time series prediction using recurrent neural networks (RNN) with Python.
This repo contains implementation of some basic ML algorithms from scratch on PyTorch with GPU support.
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