Search Results for "partitioning"
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Showing 22 open source projects for "partitioning"
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DLRM
An implementation of a deep learning recommendation model (DLRM)
...The architecture combines dense (MLP) and sparse (embedding) branches, then interacts features via dot product or feature interactions before passing through further dense layers to predict click-through, ranking scores, or conversion probabilities. The implementation is optimized for performance at scale, supporting multi-GPU and multi-node execution, quantization, embedding partitioning, and pipelined I/O to feed huge embeddings efficiently. It includes data loaders for standard benchmarks (like Criteo), training scripts, evaluation tools, and capabilities like mixed precision, gradient compression, and memory fusion to maximize throughput. -
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Arch Installer
Arch Linux installer - guided, templates etc.
Just another guided/automated Arch Linux installer with a twist. The installer also doubles as a python library to install Arch Linux and manage services, packages, and other things inside the installed system (Usually from a live medium). -
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exo
Run your own AI cluster at home with everyday devices
Run your own AI cluster at home with everyday devices. Maintained by exo labs. Forget expensive NVIDIA GPUs, unify your existing devices into one powerful GPU, iPhone, iPad, Android, Mac, Linux, or pretty much any device. Now the default models, run 8B, 70B, and 405B parameter models on your own devices. -
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AWS SDK for pandas
Easy integration with Athena, Glue, Redshift, Timestream, Neptune
...With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. Operational helpers handle IAM, sessions, and concurrency while exposing knobs for encryption, versioning, and catalog consistency. ... -
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TurboGears
Python web framework with full-stack layer
TurboGears is a hybrid web framework able to act both as a Full Stack framework or as a Microframework. TurboGears helps you get going fast and gets out of your way when you want it! TurboGears can be used both as a full stack framework or as a microframework in single-file mode. TurboGears 2 is built on top of the experience of several next-generation web frameworks including TurboGears 1 (of course), Django, and Rails. All of these frameworks had limitations that frustrated us, and TG2 was... -
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Petastorm
Petastorm library enables single machine or distributed training
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code. Petastorm is an open-source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from datasets in Apache Parquet format. Petastorm supports popular... -
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Streamline Analyst
AI agent that streamlines the entire process of data analysis
...This Data Analysis Agent effortlessly automates all the tasks such as data cleaning, preprocessing, and even complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. -
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LLaMA-MoE
Building Mixture-of-Experts from LLaMA with Continual Pre-training
LLaMA-MoE is an open-source project that builds mixture-of-experts language models from LLaMA through expert partitioning and continual pre-training. The repository is centered on making MoE research more accessible by offering smaller and more affordable models with only about 3.0 to 3.5 billion activated parameters, which helps reduce deployment and experimentation costs. Its architecture works by splitting LLaMA feed-forward networks into sparse experts and adding gating mechanisms so that only selected experts are activated during inference and training. ... -
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LLFW
Professional LLF Tool for Linux
LLFW is a tool for Linux users that performs low-level format operations on disks. Thanks to its user-friendly interface and powerful features, you can easily perform operations such as filling with zeros, writing random data or secure erase. -
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Tilificator is a sprite optimizing tool for old computers and video game systems. It tries to generate an optimal partitioning of an image into smaller MxN hardware sprites with various optimization goals.
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OptiMate
Libraries for optimizing AI models, inference speed, and GPU usage
...One of the core components, Speedster, focuses on accelerating model inference by applying state of the art optimization techniques to increase performance while lowering operational costs. Another component, Nos, targets infrastructure optimization by improving GPU utilization in Kubernetes clusters through dynamic partitioning and elastic resource quotas. -
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Jraph
A Graph Neural Network Library in Jax
...The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time compilation. The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. Jraph also comes with a model zoo—a collection of forkable reference implementations of common message-passing GNN architectures, such as Graph Networks, Graph Convolutional Networks, and Graph Attention Networks. -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions, negative sampling strategies, and typed entities, making it suitable for link prediction and retrieval. ... -
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RELEASE NOTE: Get raxmlGUI 2.0 at the NEW PROJECT LOCATION: https://antonellilab.github.io/raxmlGUI/ raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used software for phylogenetic inference using maximum likelihood. A userfriendly graphical front-end for phylogenetic analyses using RAxML (Stamatakis, 2006). Please cite: Silvestro, Michalak (2012) - raxmlGUI: a graphical front-end for RAxML. Organisms Diversity and Evolution 12, 335-337. DOI:...
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Cnchi
A modern, flexible online system installer for Antergos Linux
...Designed to offer a user-friendly installation experience, Cnchi provided both novice and experienced users with a simple, guided interface for configuring system settings, selecting desktop environments, and installing packages. It dynamically fetched up-to-date packages during installation and supported custom configurations, language options, and partitioning schemes. Though Antergos is no longer maintained, Cnchi remains a well-structured Python GTK project and can be repurposed for other Arch-based distributions. -
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Bika Open Source LIMS/LIS
Web based laboratory information management system
A web-based LIMS (Laboratory Information Management System) · Built in Plone · Professionally supported · Making waves · bi:ka (Zulu): tell it as it is More information and links to manuals, user forums, support and translations are available at https://www.bikalims.org/support-and-service-provision Bika community: www.bikalims.org Main project sponsor, Bika Lab Systems: www.bikalabs.com Inquiries: lemoene@bikalabs.com -
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A functional-structural model of tree growth based on carbon partitioning among individual organs that compete for resources.
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A Unix desktop environment, using multi-processing as the principle method of program partitioning and built around the everything-is-a-file assumption, with scripting using the programming language Haskell.
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A functional-structural model of Almond tree growth based on carbon partitioning among individual organs that compete for resources.
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Windows Partition
Python module for partitioning in Windows.
Python module that wraps the functionality of the Windows diskpart application. -
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PHOBOS
Parallel Heterogeneous OBject Store
PHOBOS implements a high performance storage solution on various storage backends, including tape libraries. It is fully based on open-source standards, open data formats and protocols, which avoids vendor locking of your data. -
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Rescuezilla
The Swiss Army Knife of System Recovery
Rescuezilla is an easy-to-use disk cloning and imaging application that's fully compatible with Clonezilla — the industry-standard trusted by tens of millions. Yes, Rescuezilla is the Clonezilla GUI (graphical user interface) that you might have been looking for. **See: https://rescuezilla.com/ for download links** **NEW** Weekly rolling release downloads: https://github.com/rescuezilla/rescuezilla/releases Rescuezilla is a fork of Redo Backup and Recovery (now called Redo...
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