Search Results for "bsd" - Page 71
Sort By:
Showing 9850 open source projects for "bsd"
View related business solutions-
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.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
BabyAGI
Experimental framework for a self-building autonomous agent
BabyAGI is an experimental prototype framework for building self-building autonomous agents. The project became known for exploring how AI agents can manage functions, dependencies, executions, and configurations as part of a more autonomous workflow. Its newer dashboard-oriented structure provides tools for registering, updating, and managing functions through a user-friendly interface. It also supports dependency visualization so users can understand how functions relate to each other.... -
2
OptiMate
Libraries for optimizing AI models, inference speed, and GPU usage
Optimate is an open source collection of libraries designed to optimize the performance and cost efficiency of artificial intelligence models across different stages of the machine learning lifecycle. It groups several internal optimization tools developed by Nebuly AI into a single repository that focuses on improving inference speed, reducing infrastructure usage, and streamlining model training workflows. Its modules help developers automatically apply optimization techniques that better... -
3
Mr.Holmes
A Complete Osint Tool
Mr.Holmes is a project focused on information gathering by public sources about social networks,phone-numbers, domains and ip and with the help of Google-Dorks it generated some useful links for information gathering. It can geolocate any ip or domain and geolocate approximately every location of almost all the companies. Including Who-is Lookup, Phone-Carriers and Proxied Requests. -
4
PIFuHD
High-Resolution 3D Human Digitization from A Single Image
PIFuHD (Pixel-Aligned Implicit Function for 3D human reconstruction at high resolution) is a method and codebase to reconstruct high-fidelity 3D human meshes from a single image. It extends prior PIFu work by increasing resolution and detail, enabling fine geometry in cloth folds, hair, and subtle surface features. The method operates by learning an implicit occupancy / surface function conditioned on the image and camera projection; at inference time it queries dense points to reconstruct a... -
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
-
5
scanless
Online port scan scraper
scanless is a Python command-line utility and library for running port scans through third-party online scanning services. It is built for users who want quick visibility into exposed ports without running a local scanner directly from their own machine. The tool can scan an IP address or domain, choose a specific supported scanner, select a random scanner, or run all available scanners. It supports services such as ipfingerprints, spiderip, standingtech, viewdns, and yougetsignal. scanless... -
6
CARTOframes
CARTO Python package for data scientists
A Python package for integrating CARTO maps, analysis, and data services into data science workflows. Python data analysis workflows often rely on the de facto standards pandas and Jupyter notebooks. Integrating CARTO into this workflow saves data scientists time and energy by not having to export datasets as files or retain multiple copies of the data. Instead, CARTOframes give the ability to communicate reproducible analysis while providing the ability to gain from CARTO's services like... -
7
PARL
A high-performance distributed training framework
PARL is a scalable reinforcement learning framework built on top of PaddlePaddle. It focuses on modularity and ease of use, supporting distributed training and a variety of RL algorithms. -
8
GPT-NeoX
Implementation of model parallel autoregressive transformers on GPUs
This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. For those looking for a TPU-centric codebase, we... -
9
linux-factory
Framework used to create custom debian linux operating systems
linux-factory is a utility designed to streamline the process of building and customizing Linux kernel images using a simple, scriptable environment. It provides a modular framework for configuring kernel options, applying patches, and generating bootable images, making it ideal for embedded developers, kernel hackers, and OS maintainers. With a strong emphasis on repeatability and automation, linux-factory reduces the manual overhead of compiling and deploying Linux kernels across various... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
10
Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
11
The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the... -
12
vim-jukit
Jupyter-Notebook inspired Neovim/Vim Plugin
REPL plugin and Jupyter-Notebook alternative for (Neo)Vim. This plugin is aimed at users in search for a REPL plugin with lots of additional features. -
13
ArtLine
Deep learning tool that converts portrait photos into line art
ArtLine is a deep learning-based project focused on generating high-quality line art portraits from input images. It leverages neural network techniques built on top of the fastai library and PyTorch to transform photographic portraits into stylized line drawings. ArtLine is trained using datasets such as APDrawing and anime sketch colorization pairs to better understand facial structures and artistic line representation. An extended version integrates ControlNet, allowing users to guide the... -
14
Neomake
Asynchronous linting and make framework for Neovim/Vim
Neomake is an asynchronous linting and build framework for Vim and Neovim that predates and inspires newer tooling in this space. It runs “makers” (linters, compilers, format checkers, test commands) in the background and surfaces results as signs, virtual text, or via quickfix/location lists. The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually). Run several makers concurrently... -
15
auto-sklearn
Automated machine learning with scikit-learn
...Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system. auto-sklearn 2.0 works the same way as regular auto-sklearn. auto-sklearn is licensed the same way as scikit-learn, namely the 3-clause BSD license. -
16
Render 4 Monitoring
Render Web Services for Viewing/Monitoring and Test Web Applications
Renders and aggregates other web services into static HTML monitoring output. Also implements simple and dynamic testing of web based applications using mechanize. Includes Basic authentication, and ADFS authentication for web service testing. Custom authentications can be implemented very easily with python programming. Implements PhantomJS rendering for Javascript/HTML5 dynamic web pages. Requires python3 -
17
Merlion
A Machine Learning Framework for Time Series Intelligence
Merlion is a Python library for time series intelligence. It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance. It supports various time series learning tasks, including forecasting, anomaly detection, and change point detection for both univariate and multivariate time series. This library aims to provide engineers and researchers a one-stop solution to... -
18
EpiDoc: Epigraphic Documents in TEI XML
XML text markup for ancient documents
The EpiDoc Collaborative is developing specifications and tools for standards-based, digital publication and interchange of scholarly and educational editions of documentary and literary texts like inscriptions and papyri. The link below will take you to the EpiDoc home page on this site. -
19
Scrapyd
A service daemon to run Scrapy spiders
Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an... -
20
Tkinter Designer
An easy and fast way to create a Python GUI
Tkinter-Designer is a tool that allows developers to generate Python GUI code using Tkinter directly from Figma designs. By leveraging Figma’s design export capabilities, the tool parses the layout and transforms it into a working Tkinter interface. This helps streamline UI development by bridging the gap between design and code, making it accessible for developers and designers alike. -
21
nanogpt-lecture
Code created in the Neural Networks: Zero To Hero video lecture
nanogpt-lecture contains the code developed during the nanoGPT installment of Andrej Karpathy's Neural Networks: Zero to Hero lecture series. It is designed to accompany the video so students can inspect, modify, and rerun the implementation themselves. The repository begins with a simple character-level bigram language model and develops toward a GPT-style transformer. Its compact Python code exposes core ideas such as tokenization, embeddings, attention, transformer blocks, training, and... -
22
GXSM
Scanning Probe Microscopy Controller and Data Visualization Software
GXSM -- Gnome X Scanning Microscopy: A multi-channel image and vector-probe data acquisition and visualization system designed for SPM techniques (STM,AFM..), but also SPA-LEED/LEED/LEEM data analysis. A plug-in interface allows any user add-on data-processing and special hardware and instrument support. Latest: NC-AFM and related explorative methods as SQDM can be configured. High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports... -
23
ConvNeXt V2
Code release for ConvNeXt V2 model
ConvNeXt V2 is an evolution of the ConvNeXt architecture that co-designs convolutional networks alongside self-supervised learning. The V2 version introduces a fully convolutional masked autoencoder (FCMAE) framework where parts of the image are masked and the network reconstructs the missing content, marrying convolutional inductive bias with powerful pretraining. A key innovation is a new Global Response Normalization (GRN) layer added to the ConvNeXt backbone, which enhances feature... -
24
AEA Framework
A framework for autonomous economic agent (AEA) development
agents-aea by Fetch.ai is a framework for building autonomous economic agents (AEAs) that can act independently, communicate, and transact on decentralized networks. It focuses on enabling AI-driven agents to participate in digital marketplaces and ecosystems. -
25
Classic HWUT
Software Unit Tests (Language Independent Approach)
Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode....
