Popular GitHub Repositories for Lightroom Classic

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A curated set of 200 plug-and-play n8n workflows that fuse classic automation with today’s AI stack—vector DBs, embeddings, and LLMs. Import any JSON, add your creds, hit Activate, and you’re live. Built to demo, prototype, or drop straight into production.

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.

Flexible classic and NeurAl Retrieval Toolkit

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

[CVPR 2025] FaithDiff for Classic Film Rejuvenation, Old Photo Revival, Social Media Restoration, Image Enhancement and AIGC Enhancement.

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/

ML-algorithms from scratch using Python. Classic Machine Learning course.

Classic BWS: Liveness Detection, Deepfake Detection and PhotoVerify Face Match for KYC

Public Goods Game (PGG) Benchmark: Contribute & Punish is a multi-agent benchmark that tests cooperative and self-interested strategies among Large Language Models (LLMs) in a resource-sharing economic scenario. Our experiment extends the classic PGG with a punishment phase, allowing players to penalize free-riders or retaliate against others.

Lightroom plugin for generating title, caption and keywords with Gemini or ChatGPT

ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.

Snake learns to play. A reinforcement learning-based AI that learns to play the classic Snake game autonomously.

A3C Algorithm for classic Atari games