Apache Superset is a Data Visualization and Data Exploration Platform

Open source MCP Servers for AWS

Agents that use the browser.

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…

Real-Time Stock Trades & News - Kafka, Flink, InfluxDB, Grafana, Confluent, AWS

Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide…

🎨 Diagram as Code for prototyping cloud system architectures

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Apache Spark - A unified analytics engine for large-scale data processing

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

Pen and paper exercises in machine learning

code for kaggle: UW-Madison GI Tract Image Segmentation

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Code release for ConvNeXt model

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customizat…

Google Brain AutoML

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Pytorch tutorial for beginners on how to train a Faster RCNN model.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

OpenMMLab Detection Toolbox and Benchmark

Solution for the Sartorius - Cell Instance Segmentation competition

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

AI Summer's complete catalog of articles

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

[Medical Image Analysis 2019] Attentive Neural Cell Instance Segmentation

Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]