Search Results for "sample" - Page 4
Sort By:
Showing 158 open source projects for "sample"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
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.
-
1
Point-E
Point cloud diffusion for 3D model synthesis
...While it does not match the fine detail of some slower methods, the tradeoff in speed makes it practical for prototyping and interactive 3D generation. The repository includes inference scripts, utilities for converting point clouds to meshes (e.g. via signed distance function regression), sample notebooks, and weight checkpoints. It also provides documentation on limitations, usage instructions, and example outputs. -
2
Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series... -
3
ceph-ansible
Ansible playbooks to deploy Ceph, the distributed filesystem
...The default location for an inventory file is /etc/ansible/hosts but this file can be placed anywhere and used with the -i flag of ansible-playbook. You must have a playbook to pass to the ansible-playbook command when deploying your cluster. There is a sample playbook at the root of the ceph-ansible project called site.yml.sample. This playbook should work fine for most usages, but it does include by default every daemon group which might not be appropriate for your cluster setup. -
4
AutoScraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
5
Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. -
6
FastClicker
Autoclicker to set your dynamic cursor locations and number of clicks
An application with a predefined template to set your dynamic cursor locations or at a prespecified location. The maximum number of clicks can also be set. -
7
Manticore
Symbolic execution tool
...If you have never used such a tool before, give Manticore a try. Manticore comes with an easy-to-use command line tool that quickly generates new program “test cases” (or sample inputs) with symbolic execution. Each test case results in a unique outcome when running the program, like a normal process exit or crash (e.g., invalid program counter, invalid memory read/write). -
8
Bandwidth
Monitor monthly internet Transmit and Receive bandwidth usage - Linux
Keep track of bandwidth usage Allows Linux users to monitor their Transmit and Receive bandwidth usage with a simple text based menu, via your browser or from the command line. Some of us are unable to get "unlimited", "all that you can eat", internet packages and are left trying to stay within our Download/Upload limits, whilst paying dearly for the "privilege". Equally, we didn't have the foresight or the money to purchase an snmp managed router, so we are unable to strip the traffic... -
9
AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
...In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance. -
Catch Bugs Before Your Customers DoMove from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
-
10
AI Platform Training and Prediction
Cloud ML Engine repo
AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. The repository covers the full machine learning lifecycle, including data preprocessing, model... -
11
XISMuS
X-Ray Imaging Software for Multiple Samples
...IMPORTANT FIXES in respect to base v2.0.0 version: v.2.5.0 introduces the Differential Attenuation and Cube Viewer utilities, and migrates user database to *.json files v2.4.3 fixes a with K element in the fit-approx method v2.4.3 fixes and issue where saving plots with fit-approx or a auto-wizard could freeze the software v2.4.2 introduces Image Viewer to Mosaic v2.4.1 fixes an issue in merging H5 or EDF datasets with Mosaic Full changelog at https://linssab.github.io/history X-Ray Fluorescence Imaging Software for Multiple Samples is an open source software to manipulate and study macro-X-Ray Fluorescence (MA-XRF) datasets. XISMuS also works as a sample management tool, where you can easily change between datasets (samples) and compare, cross-interact and normalize them. -
12
Code Cookbook
Reusable code patterns which you can use as reference or copy
Reusable code patterns which you can use as reference or copy to your project. Achieve small or large tasks using recipes that contain steps, scripts, and config files. -
13
Mocking Bird
Clone a voice in 5 seconds to generate arbitrary speech in real-time
MockingBird is an open-source voice cloning and real-time speech generation toolkit that lets you clone a speaker’s voice from a short audio sample (reportedly as little as 5 seconds) and then synthesize arbitrary speech in that voice. It builds on deep-learning based TTS / voice-cloning technology (in the lineage of projects such as Real-Time-Voice-Cloning), but extends it with support for Mandarin Chinese and multiple Chinese speech datasets — broadening its applicability beyond English. ... -
14
Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
...This makes the repo suitable for students, hobbyists, or developers who want to deeply understand how ML algorithms work under the hood and experiment with parameter tuning or custom data. Because it's part of the author’s learning-path repositories, it likely is integrated with tutorials, sample datasets, and contextual guidance, which helps users bridge theory. -
15
Pydub
Manipulate audio with a simple and easy high level interface
...For opening and saving non-wav files, like mp3, you'll need ffmpeg or libav. Any operations that combine multiple AudioSegment objects in any way will first ensure that they have the same number of channels, frame rate, sample rate, bit depth, etc. -
16
Keras TCN
Keras Temporal Convolutional Network
...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. The receptive field of the TCN can be calculated. Once keras-tcn is installed as a package, you can take a glimpse of what is possible to do with TCNs. Some tasks examples are available in the repository for this purpose. -
17
Image GPT
Large-scale autoregressive pixel model for image generation by OpenAI
...It provides scripts to download pretrained checkpoints of different model sizes (small, medium, large) trained on large-scale datasets and includes utilities for handling color quantization with a 9-bit palette. Researchers can use the code to sample new images, evaluate generative loss on datasets like ImageNet or CIFAR-10, and explore the impact of scaling on performance. While the repository is archived and provided as-is, it remains a valuable starting point for experimenting with autoregressive transformers applied directly to raw pixel data. By demonstrating GPT’s flexibility across modalities, Image-GPT influenced subsequent multimodal generative research. -
18
HiFi-GAN
Generative Adversarial Networks for Efficient and High Fidelity Speech
...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 typical autoregressive models. In experiments on LJSpeech, HiFi-GAN was shown to achieve mean opinion scores close to human recordings while synthesizing 22.05 kHz audio up to ~168× faster than real time on an NVIDIA V100 GPU. A smaller configuration trades a bit of quality for even higher speed and can run more than 13× faster than real time on CPU, making it suitable for deployment scenarios without powerful GPUs. -
19
joy2key
Steer in GTBikeV with any unsupported joystick
Map joystick buttons to keyboard keys, to steer in GTBikeV with any (unsupported) joystick. Uses Python Windows joystick API and sample code from How to generate keyboard events in Python? If your joystick has an analog stick you may prefer using x360ce for steering. You can still use joy2key to enable/disable auto drive and change radio station, just leave buttons 3 and 4 unmapped in x360ce. -
20
...Motu handles, extracts and transforms oceanographic huge volumes of data without performance collapse. This client enables to extract and download data through a python command line Indesol project sample: http://www.indeso.web.id/indeso_wp/index.php/faq/30-6-how-to-write-and-run-the-script-to-download-indeso-met-ocean-data
-
21
LiVES
LiVES is a Video Editing System. It is designed to be simple to use, y
...You can even record your performance in real time, and then edit it further or render it straight away. For the more technically minded, the application is frame and sample accurate, and it can be controlled remotely or scripted for use as a video server. And it supports all of the latest free standards. -
22
Tofu
Tofu is a Python tool for generating synthetic UK Biobank data
...The study has collected and continues to collect extensive phenotypic and genotypic detail about its participants, including data from questionnaires, physical measures, sample assays, accelerometry, multimodal imaging, genome-wide genotyping and longitudinal follow-up for a wide range of health-related outcomes. Tofu will generate synthetic data which conforms to the structure of the baseline data UK Biobank sends researchers by generating random values. For categorical variables (single or multiple choices), a random value will be picked from the UK Biobank data dictionary for that field. ... -
23
TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
...You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the theory of transfer learning and show how to apply it in useful projects. The development is on progress! The API will be updated soon, the more talented and light-weight API will be available in this repo! Detailed API documentation and sample jupyter notebooks that explain basic usages of API will be added! -
24
DEBay
Deconvolutes qPCR data to estimate cell-type-specific gene expression
DEBay: Deconvolution of Ensemble through Bayes-approach DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types in the sample. The user manual of DEBay: https://sourceforge.net/projects/debay/files/UserManual.pdf Sample data: https://sourceforge.net/projects/debay/files/Test_data/ Citation Information: Vimalathithan Devaraj, Biplab Bose. ... -
25
PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud.
