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Lightning fast code searching made easy
:rocket: Lightning fast and elegant mvc framework for Java8
Imaging is a simple image processing package for Go
Intelligent adaptive brightness for your external monitors
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
No Longer Maintained - A lightning fast JSON:API serializer for Ruby Objects.
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
A Windows desktop tool to adjust the brightness of multiple monitors with ease
A blazingly fast multi-language serialization framework for idiomatic domain objects, schema IDL, and cross-language data exchange.
Lightning fast C++/CUDA neural network framework
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
A tiny, lightning fast jQuery-like library for modern browsers.
⚡ Cheatsheet for developing lightning fast progressive Angular applications
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
[NeurIPS 2024] Official code for PuLID: Pure and Lightning ID Customization via Contrastive Alignment
Lightning fast, open-source, < 250kb Android launcher
A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
Automatically switch to a darker or a lighter version of an element depending on the brightness of images behind it.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Core Lightning — Lightning Network implementation focusing on spec compliance and performance
behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree, finite state machine and hierarchical task network(BT, FSM, HTN)
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies