Search Results for "linux memory" - Page 3
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Showing 197 open source projects for "linux memory"
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TensorFlow Model Optimization Toolkit
A toolkit to optimize ML models for deployment for Keras & TensorFlow
The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. Choose the model... -
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Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
..., separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). File sizes, creation dates, dimensions, indication of truncated images and existance of EXIF metadata. Mostly global details about the dataset (number of records, number of variables, overall missigness and duplicates, memory footprint). Comprehensive and automatic list of potential data quality issues (high correlation, skewness, uniformity, zeros, missing values, constant values, between others). -
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DeepSpeed
Deep learning optimization library: makes distributed training easy
DeepSpeed is an easy-to-use deep learning optimization software suite that enables unprecedented scale and speed for Deep Learning Training and Inference. With DeepSpeed you can: 1. Train/Inference dense or sparse models with billions or trillions of parameters 2. Achieve excellent system throughput and efficiently scale to thousands of GPUs 3. Train/Inference on resource constrained GPU systems 4. Achieve unprecedented low latency and high throughput for inference 5. Achieve extreme... -
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Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
... they pass into a neural network (if you use augmentation). The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. You should expect it to be 33% faster and save up to 40% memory. Aim is an open-source experiment tracker that logs your training runs, and enables a beautiful UI to compare them. -
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parallel-ssh
Asynchronous parallel SSH client library.
parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways. -
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DALL·E Mini
Generate images from a text prompt
DALL·E Mini, generate images from a text prompt. OpenAI had the first impressive model for generating images with DALL·E. Craiyon/DALL·E mini is an attempt at reproducing those results with an open-source model. The model is trained by looking at millions of images from the internet with their associated captions. Over time, it learns how to draw an image from a text prompt. Some concepts are learned from memory as they may have seen similar images. However, it can also learn how to create... -
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min(DALL·E)
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
This is a fast, minimal port of Boris Dayma's DALL·E Mini (with mega weights). It has been stripped down for inference and converted to PyTorch. The only third-party dependencies are numpy, requests, pillow and torch. The required models will be downloaded to models_root if they are not already there. Set the dtype to torch.float16 to save GPU memory. If you have an Ampere architecture GPU you can use torch.bfloat16. Set the device to either cuda or "cpu". Once everything has finished... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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qBittorrent
A free and reliable P2P BitTorrent client
An advanced and multi-platform BitTorrent client with a nice Qt user interface as well as a Web UI for remote control and an integrated search engine. qBittorrent aims to meet the needs of most users while using as little CPU and memory as possible. -
A new approach to fast data transfer | IBM AsperaIBM Aspera takes a different approach to tackling the challenges of big data movement over global WANs. Rather than optimize or accelerate data transfer, Aspera eliminates underlying bottlenecks by using a breakthrough transport technology that fully utilizes available network bandwidth to maximize speed and quickly scale up with no theoretical limit.
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BitcoinExchangeFH
Cryptocurrency exchange market data feed handler
BitcoinExchangeFH is a slim application to record the price depth and trades in various exchanges. You can set it up quickly and record all the exchange data in a few minutes! If the exchange is not supported with the WebSocket API feed, it will automatically fall into using its REST API feed. The subscription section specifies the exchange and instruments to subscribe. After receiving the order book or trade update, each handler is updated. For example, for SQL database handler, it is... -
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KoboldAI
Your gateway to GPT writing
This is a browser-based front-end for AI-assisted writing with multiple local & remote AI models. It offers the standard array of tools, including Memory, Author's Note, World Info, Save & Load, adjustable AI settings, formatting options, and the ability to import existing AI Dungeon adventures. You can also turn on Adventure mode and play the game like AI Dungeon Unleashed. Stories can be played like a Novel, a text adventure game or used as a chatbot with an easy toggles to change between... -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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asammdf
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)
*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4 -
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Intention Repeater MAX
Repeating your Intentions millions of times per second
Unleash the power of manifestation with the Intention Repeater MAX Radionics tool for Windows, macOS, and Linux! 🌟 This versatile suite repeats your intention millions of times per second in memory, amplifying your desires and goals. Perfect for meditation, energy clearing, chakras, and more. The easy-to-use bundle includes binaries and source code for: MAX and Simple Intention Repeaters CUDA version for Windows/Linux Memory Frequency Generator Multi-Format to WAV... -
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Odoo ERP CRM System For Local Intranets
Web,Sales,Finance,Inventory,Manufacture,HR,Marketing,Services,Efficacy
... Username: admin@example.com Admin Password: change_this from any PC on your Local Network. Then follow below screenshots for: 1. Configuring Outgoing Email SMTP Servers 2. Manage Users 3. ACTIVATE Needed Apps 4. Change all Passwords i.e. System, Application, Database 5. Increase CPU Count, Memory, Disk Space in VM's Settings, as required 6. Also see below Backup the system regularly, to avoid any issues. These are covered in the video. Google Search helps in finding more about Odoo -
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NWT - Pytorch (wip)
Implementation of NWT, audio-to-video generation, in Pytorch
Implementation of NWT, audio-to-video generation, in Pytorch. The paper proposes a new discrete latent representation named Memcodes, which can be succinctly described as a type of multi-head hard-attention to learned memory (codebook) key/values. They claim the need for less codes and smaller codebook dimensions in order to achieve better reconstructions. -
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FFTW++ is a C++ header class for the FFTW Fast Fourier Transform library that automates memory allocation, alignment, planning, wisdom, and communication on both serial and parallel (OpenMP/MPI) architectures. In 2D and 3D, hybrid dealiasing of convolutions substantially reduces memory usage and computation time. Wrappers for C, Python, and Fortran are included.
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The wolfSSL embedded SSL library (formerly CyaSSL) is a lightweight, portable, C-language-based SSL/TLS library targeted at IoT, embedded, and RTOS environments primarily because of its size, speed, and feature set. It works seamlessly in desktop, enterprise, and cloud environments as well. wolfSSL supports industry standards up to the current TLS 1.2 and DTLS 1.2, is up to 20 times smaller than OpenSSL, offers a simple API, an OpenSSL compatibility layer, OCSP and CRL support, is backed by...
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Computational electromagnetics software. Uses surface Method of Moments, enhanced by using the Multilevel Fast Multipole Method. Code is parallelized and runs on laptops, desktops and clusters. The code precision is adjustable, it is fast and uses little memory. CFIE is used for closed surfaces, and EFIE for open PEC surfaces. Can function on GMSH, GiD and ANSYS meshes.
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IP-XACT 2009/2014 Platform
Smart GUI/Commandline tools to create IP-XACT( 2009/2014) files
Smart GUI to create or update IP-XACT often needed for the IP packaging. It has capability create Bus Definitions from scratch to populate BusDef library. One can create IP-XACT Component, Design or Registers by importing Ip in System Verilog/Verilog-95/VHDL, instantiate Bus Interfaces with proper port maps and attributes as needed. Smart GUI to create IP-XACT Registers, Memory Maps, Address Blocks for IP- has feature to import XLS or Verilog . It has Tcl/Python API support... -
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Baya - SoC Integration Platform
Best in class SoC Integration Platform, IP-XACT, Verilog VHDL, UPF
... with advance queries 8. Hierarchy Manipulation to create Power Domain, Voltage Domain, comply with Floor planning 8.a. Insert new hierarchy 8.b. Remove existing hierarchy 9. Associate the IP-XACT memory maps with the SoC component instances 10. Dump out the C Model for the entire design 11. Glue-Logic insertion 12. Spare port insertion across hierarchies 13. Automatic creation of the top module and it's ports based upon specified rule 14. Creates stub module -
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English Dictionary
Introducing the English Dictionary by X-SOLUTION! Created by CEO Princ
Introducing the English Dictionary, created by Prince MUGISHA and Jane DUSHIMIMANA from X-SOLUTION. This exceptional software is designed to provide quick and accurate word meanings, making it an essential tool for individuals in various fields. This offline English Dictionary offers a vast collection of words and their definitions, ensuring that you never struggle to find the meaning you're looking for. Whether you're a student, a professional, or simply an individual who enjoys... -
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HWUT - The Hello-Worldler's Unit Test
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... -
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Voice Cloning App
A Python/Pytorch app for easily synthesising human voices
A Python/Pytorch app for easily synthesizing human voices. If you are using a language other than English you can add it to the app. Firstly, you'll need to find a deep speech model for your language by going to coqui. You'll then need to download the model.pbmm and alphabet.txt files for your language. Requires Windows 10 or Ubuntu 20.04+ operating system, 5GB+ Disk space, and NVIDIA GPU with at least 4GB of memory & driver version 456.38+ (optional). Automatic dataset generation (with support... -
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eCxx
A C++ library for AVR and NodeMCU
... megaAVR series (ATmega328P, ATmega1284P, ATmega2560, ATmega32U4, AT90USB1286, etc.) as well as the new megaAVR 0-Series (ATmega4808, ATmega4809, etc.). On the other side, while eCxx is primarily designed to work in NodeMCU, it should also support other ESP-12 based design as well as ESP-01 based design. The Makefile build system and some of the tools would only run on Linux. However, the library source code should be portable enough to be built using other build systems for AVR and NodeMC