Search Results for "size" - Page 7
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Showing 280 open source projects for "size"
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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.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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1
AstuGeClim
Soft to calculate differents elements on HVAC installations
With astugeclim you can size a large part of the HVAC equipments / installations (heating, plumbing, ventilation ...). The development is open to all your additional needs, do not hesitate to contact me for more information. -
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ipfs-api-mount
Mount IPFS directory as local FS
...In case of nonlinear file access with many small reads there is a risk of cache thrashing. If this occurs performance will be much worst than without cache. When using the command you can adjust cache size to get best performance. -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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Keras TCN
Keras Temporal Convolutional Network
...Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the maximum number of steps back in time from current sample at time T, that a filter from (block, layer, stack, TCN) can hit (effective history) + 1. ... -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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HiFi-GAN
Generative Adversarial Networks for Efficient and High Fidelity Speech
HiFi-GAN is a GAN-based neural vocoder designed to generate high-fidelity speech waveforms from mel spectrograms with exceptional efficiency. It introduces a generator architecture tailored to model the periodic structure of speech and a set of discriminators that focus on different scales and periods of the waveform to better capture naturalness. The model targets a sweet spot between sample quality and generation speed, outperforming many previous GAN vocoders while being far faster than... -
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SUM Calculator
Portable bundle for Windows
This is a PORTABLE app bundle for WINDOWS. No installation required! (Uncompressed size is about 60Mb because of required libraries for all Windows versions from XP to 10. The application is incomparably small.) Unzip, run sumcalc.exe. That's it! You can put the folder wherever you want, except system folders with permissions (e.g. Program Files), and create a shortcut if needed. Cross-platform source and info: https://github.com/qandak/sumcalc Changelog: https://github.com/qandak/sumcalc/blob/master/CHANGELOG.md -
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3DDFA
Fast, accurate and stable 3D dense face alignment
This work extends 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. The supplementary material is here. The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2. Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability. Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c++ and... -
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ERP OS
It’s a Lubuntu based ERP OS. Get two ERP software preinstalled
It’s a Lubuntu based ERP OS. Get two ERP (ERPNext & Odoo) software preinstalled at once. All official free apps included with Odoo. Download file size is about 3.4 GB. Use password below if asked anywhere esite.pk Do remember to rate & review this project here on the SourceForge. Become my patron https://patreon.com/asakpke https://www.youtube.com/channel/UCmSdMtbVfU2vxpJrsOQGVJA?sub_confirmation=1 -
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LiVES
LiVES is a Video Editing System. It is designed to be simple to use, y
LiVES mixes realtime video performance and non-linear editing in one professional quality application. It is designed to be simple to use, yet powerful. It is small in size, yet it has many advanced features. Using LiVES, you can start editing and making video right away, without having to worry about formats, frame sizes, or framerates. It is a very flexible tool which is used by both professional VJ's and video editors - mix and switch clips from the keyboard, use dozens of realtime effects, trim and edit your clips in the clip editor, and bring them together using the multitrack timeline. ... -
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.
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Optimus
Agile Data Preparation Workflows made easy with Pandas
...Process using a simple API, making it easy to use for newcomers. More than 100 functions to handle strings, process dates, urls and emails. Easily plot data from any size. Out-of-box functions to explore and fix data quality. Use the same code to process your data in your laptop or in a remote cluster of GPUs. -
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Brand new cheatsheets and handouts
Matplotlib 3.1 cheat sheet
The Brand new cheatsheets and handouts repo is a compact, quick-reference summary of the most commonly used plotting commands and configurations in Matplotlib, intended to serve as a handy reference for experienced users who want to recall syntax or find the right function without digging into full documentation. It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet”... -
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Super-résolution via CNN
Super resolution using a CNN, based on the work of the DGtal team
...This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test batch and lrto the learning rate. Low res images should be located in a "dataset/input" folder, and high res targets in a "dataset/target" folder, where each different quality image has the same name in both folders. -
13
BytePS
A high performance and generic framework for distributed DNN training
...In certain scenarios, BytePS can double the training speed compared with Horovod+NCCL. We show our experiment on BERT-large training, which is based on GluonNLP toolkit. The model uses mixed precision. We use Tesla V100 32GB GPUs and set batch size equal to 64 per GPU. Each machine has 8 V100 GPUs (32GB memory) with NVLink-enabled. Machines are inter-connected with 100 Gbps RDMA network. This is the same hardware setup you can get on AWS. -
14
textgenrnn
Easily train your own text-generating neural network
With textgenrnn you can easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. A modern neural network architecture that utilizes new techniques as attention-weighting and skip-embedding to accelerate training and improve model quality. Train on and generate text at either the character-level or word-level. Configure RNN size, the number of RNN layers, and whether to use bidirectional RNNs. -
15
CountBookmarks
Makes a detailed count of your browser bookmarks by folder
This simple program performs a detailed count of exported web browser bookmarks by folder. Its output file can be imported into a spreadsheet and sorted to show the relative size of all your bookmark folders. -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
17
remindMe
A sticky notes alternative with user customizations, popups, more...
remindME is a simple and free alternative to sticky notes that can store multiple notes on a single window or can be detached to separate notes popup. It also supports a lot of user customizations like background color, font color, font family, style, size. It also supports features of stay-on-top and export options. -
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InferSent
InferSent sentence embeddings
InferSent is a supervised sentence embedding method that learns universal representations from Natural Language Inference data and transfers well to many downstream tasks. It uses a BiLSTM encoder with max-pooling to produce fixed-length sentence vectors that capture semantics beyond bag-of-words statistics. Trained on large NLI datasets, the embeddings generalize across tasks like sentiment analysis, entailment, paraphrase detection, and semantic similarity with simple linear classifiers.... -
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GPT2-Pytorch with Text-Generator
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
...It uses pretrained weights converted for PyTorch rather than training the language model from scratch. Users can begin generation from a supplied prompt or request unconditional samples. Command-line options control sample count, batch size, output length, temperature, and top-k filtering. The repository includes a runnable Python script, dependency file, and Google Colab notebook for faster experimentation. It is best suited to studying an early Transformer language model and its sampling process rather than building a modern production system. -
20
CakeChat
CakeChat: Emotional Generative Dialog System
CakeChat is a backend for chatbots that are able to express emotions via conversations. The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always... -
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SlideSorter
SlideSorter sorts images and videos, and presents them in a slideshow
SlideSorter manages "slides", which can be images or videos of any type, size, and length. It allows: - sorting your slides like on a professional light-table, plus zooming in and out, - saving them in the sorted order, - presenting them as slide show in automatic or manual mode at any time. SlideSorter is most efficiently used with a '3-Button + Wheel' mouse, which supports all major handling, like sorting, viewing, zooming, comparing, playing, slideshowing -
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main... -
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pyFileSearcher
simple searching tool for big fileservers
pyFileSearcher was designed to be lightweight, easy to use, but capable of handling a large volume of files tool. A tool that I personally could use on large corporate servers to find out - which files have taken all my space in the last few days? It's free, it's opensource, it's for linux and windows. The program is written in Python 3 using the Qt5. -
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dev-setup
macOS development environment setup
...Additional scripts prepare Python data-analysis stacks, AWS and big-data tooling, databases, web development, and Android development. Its modular .dots launcher lets users run only the setup sections they actually want. The repository is intentionally customizable rather than a one-size-fits-all installer, and its documented targets are older OS X releases. It is most useful today as a historical automation template and organized setup reference. -
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SegoFiles
A file organizer tool ,Organizes files to specific folders ,on a click
...>>Options are available to choose whether to segregate specific file type or everything in the folder. >>Efficient to organize GB's of Data >>Make Yourself Freed from Manual Organizing. >>Only for Windows users -32 Bit or 64 Bit >>File Size - 5.7 Mb
