Search Results for "forest"
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Showing 92 open source projects for "forest"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Forest
Rust Filecoin Node Implementation
...As part of the larger Filecoin ecosystem, Forest plays a critical role in enabling verifiable, incentive-aligned storage infrastructure. -
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Random Cut Forest by AWS
An implementation of the Random Cut Forest data structure
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features for greater flexibility of use. -
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PyQuil
A Python library for quantum programming using Quil
...To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK. -
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FLUX.1
Official inference repo for FLUX.1 models
FLUX.1 repository contains inference code and tooling for the FLUX.1 text-to-image diffusion models, enabling developers and researchers to generate and edit images from natural-language prompts using open-weight versions of the model on their own hardware or within custom applications. The project is part of a larger family of FLUX models developed by Black Forest Labs, designed to produce high-quality, detailed visuals from text descriptions with competitive prompt adherence and artistic fidelity. This repo focuses on running the open-source model variants efficiently, providing scripts, model loading logic, and examples for local installations, and supports integration with Python toolchains like PyTorch and popular generative pipelines. ... -
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This project contains forest simulation models for predictive purposes.
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Replicate Flux MCP
MCP for Replicate Flux Model
The Replicate Flux MCP is an advanced Model Context Protocol server that empowers AI assistants to generate high-quality images and vector graphics. It leverages Black Forest Labs' Flux Schnell model for raster images and Recraft's V3 SVG model for vector graphics via the Replicate API. -
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FLUX.2
Official inference repo for FLUX.2 models
FLUX.2 is a state-of-the-art open-weight image generation and editing model released by Black Forest Labs aimed at bridging the gap between research-grade capabilities and production-ready workflows. The model offers both text-to-image generation and powerful image editing, including editing of multiple reference images, with fidelity, consistency, and realism that push the limits of what open-source generative models have achieved. -
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AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
...To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling. -
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PennyLane
A cross-platform Python library for differentiable programming
...The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK. -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,... -
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IPFS Web UI
A frontend for an IPFS node
A web interface to IPFS, shipped with Kubo, and ipfs-desktop. Check on your node stats, explore the IPLD powered merkle forest, see peers around the world and manage your files, without needing to touch the CLI. When working on the code, run an ipfs daemon, the local dev server, the unit tests, and the storybook component viewer and see the results of your changes as you save files. If you need to run IPFS in a Docker container, you can still have Web UI available by exposing both the Gateway and Web UI ports. ... -
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FLAML
A fast library for AutoML and tuning
FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. It frees users from selecting learners and hyperparameters for each learner. For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It supports both classical machine learning models and deep neural networks. It is easy to customize or extend. Users can find their... -
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A tool for carbon accounting in forest stands. **Important:**The source code has moved to GitHub (https://github.com/CWFC-CCFB/CAT) Releases remain on SourceForge though.
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BioSIM
A client for BioSIM
...The BioSIM application can impute climate variables to any location given the data of nearby climate stations. The original application has been developed by Jacques Régnière and Rémi Saint-Amant at the Canadian Forest Service - Laurentian Forestry Centre. The BioSIM Web API is implemented in C#. This project aims at providing a Java and an R client to access the Web API and retrieve climate variables. This project has migrated to https://github.com/RNCan/BioSimClient_R -
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Tomito vlv
Calm, private Pomodoro timer for macOS
Tomito vlv is open-source Pomodoro timer for macOS 13+. Focus sessions, short breaks, long breaks, menu-bar controls, local notifications, bilingual English/Spanish interface. Local-first: no accounts, analytics, tracking, or network dependency. -
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Tank Battle Classic
A tank combat action game with retro style.
...Penetration is affected by impact angle and distance, so targeting weak points and using your own armor effectively are key to survival. Battlefields The game currently includes suburban, urban, forest, mountain, and open plain maps. Additional battlefields are planned for future updates. Missions Missions include close-range combat in cover-rich environments, long-range interception battles, encounters in dense fog, and escort operations. Additional missions are planned for future updates. -
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xps dynamically displays in an X Window the Unix processes as a tree or forest, the roots on the left and the leaf processes (with no children) on the right. The status of each process running, sleeping, stopped, etc.) can be indicated by a color. Di
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FLUX.1 Krea
Powerful open source image generation model
FLUX.1 Krea [dev] is an open-source 12-billion parameter image generation model developed collaboratively by Krea and Black Forest Labs, designed to deliver superior aesthetic control and high image quality. It is a rectified-flow model distilled from the original Krea 1, providing enhanced sampling efficiency through classifier-free guidance distillation. The model supports generation at resolutions between 1024 and 1280 pixels with recommended inference steps between 28 and 32 for optimal balance of speed and quality. ... -
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DecisionTree.jl
Julia implementation of Decision Tree (CART) Random Forest algorithm
Julia implementation of Decision Tree (CART) and Random Forest algorithms. -
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HealthFusion
AI Disease Detections System
...HealthFusion is a user-friendly app that can be accessed from the comfort of homes, making it accessible to everyone. The use of advanced technologies such as Convolutional Neural Networks, Random Forest, and XGBoost allows for accurate and timely detection of diseases, leading to better patient outcomes. -
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rafah
Random Forest Assignment of Hosts
One fundamental question when trying to describe viruses of Bacteria and Archaea is: Which host do they infect? To tackle this issue we developed a machine-learning approach named Random Forest Assignment of Hosts (RaFAH), which outperformed other methods for virus-host prediction. Our rationale was that the machine could learn the associations between genes and hosts much more efficiently than a human, while also using the information contained in the hypothetical proteins. Random forest models were built using the Ranger package in R. -
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SGX-Full-OrderBook-Tick-Data-Trading
Providing the solutions for high-frequency trading (HFT) strategies
...By extracting features such as order depth ratios and price movement indicators, the system trains machine learning models to predict short-term market changes. Several algorithms are used during model selection, including Random Forest, Extra Trees, AdaBoost, Gradient Boosting, and Support Vector Machines. The project evaluates models by predicting price direction within very short time windows and then applying a simple trading strategy based on those predictions. It also measures profitability through profit-and-loss analysis derived from the predicted signals. -
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forestplot
Make Coefficient plots using Forestplot in Python
A Python package to make publication-ready but customizable forest plots (coefplots). This package makes publication-ready forest plots easy to make out-of-the-box. Users provide a dataframe (e.g. from a spreadsheet) where rows correspond to a variable/study with columns including estimates, variable labels, and lower and upper confidence interval limits. Additional options allow easy addition of columns in the dataframe as annotations in the plot. -
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Splicing Prediction Pipeline
Splicing Prediction Pipeline or SPiP
...You can also download SPiP in zip format: https://sourceforge.net/projects/splicing-prediction-pipeline/files/SPiP_alone_v2_1.zip For Linux (GitHub): https://github.com/LBGC-CFB/SPiP If you have questions, please contact me to: r.leman@baclesse.unicancer.fr or raphael.leman@orange.fr v2.1 corrected (07/2021) : correction of score calculation v2.1 (06/2021): Most strigent on "Alter by complex event" v2.0 (04/2021): New SPiP with random forest modelization old change detailled in https://sourceforge.net/projects/splicing-prediction-pipeline/files/changeLogBeforev2.0.txt -
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Spring RTS Engine
Spring is a free RTS engine developed for Windows, Linux and Mac OS X.
Spring is a versatile 3D RTS game engine. Using extensively Lua for scripting game-specific code to make nearly every aspect of the engine customizable, from GUI, to unit AI, to pathfinding.
