Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
- gbdt
- gbrt
- gbm
- distributed-systems
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A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
- nvr
- network-video-capture
- network-video-recorder
- tensorflow
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
- segmentation
- cell-segmentation
- cell-biology
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
- evolutionary-algorithms
- rsi-ai
- self-improvement
- llm-agent
Official Project Page for Recurrent Looped Transformer (RLT) (https://arxiv.org/abs/2610.07591)
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
- 3d-lidar
- loop-closure-detection
- slam
- lidar
This extension transforms the Gemini CLI into "Pickle Rick," a hyper-intelligent, arrogant, yet extremely competent engineering persona. It enforces a rigid, iterative software development lifecycle through continuous AI agent loops. Emphasizing "God Mode" coding practices and a disdain for
- ai
- gemini
- gemini-cli
- gemini-cli-extensions
Search and filter videos based on objects that appear in them using convolutional neural networks
LoopWAM: Closed-Loop Generalist Policy Improvement from Deployment Rollouts
Translated🎬 AI video production workflow｜🧩 Six-layer method: Graph · Loop · Workflow · Agent · Skill · Standards｜9 processes (6 official / 3 candidate) · 3 runnable pixel scenes · AI comic case study｜🎨 Blender layered animation method and nested plane compositing｜📦 Original soundtrack, 18 text cases, and asset hub
- ai-video
- ai-workflow
- animation
- coding-agent
Open-source studio for video, stills and 3D on your own GPU through ComfyUI
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.
- agentic-ai
- ai
- ai-agents
- golang
GNN-based gene-selection deep learning model for drug response prediction