Search Results for "time tracking python" - Page 66
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Showing 3550 open source projects for "time tracking python"
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DeepMosaics
Automatically remove the mosaics in images and videos, or add mosaics
Automatically remove the mosaics in images and videos, or add mosaics to them. This project is based on "semantic segmentation" and "Image-to-Image Translation". You can either run DeepMosaics via a pre-built binary package, or from source. Run time depends on the computer's performance (GPU version has better performance but requires CUDA to be installed). Different pre-trained models are suitable for different effects.[Introduction to pre-trained models]. -
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BlackMamba
C2/post-exploitation framework
Black Mamba is a Command and Control (C2) that works with multiple connections at same time. It was developed with Python and with Qt Framework and have multiple features for a post-exploitation step. -
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HSKinter
Chinese Words Study (HSK 1–5) on Desktop and Phone
A Python/Tkinter tool to learn 2500 Mandarin words (HSK 1–5). Flashcards, practice of hanzi meaning, pinyin and tones, stats of accuracy. Optional pronunciation via gTTS (Google). Compatible with Pydroid 3 (runs on Android). The frequency of a word showing up depends on its retaining level and time since the last answer (age). -
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Linux-reminders
A simple reminder Gui for Linux using wxpython
A simple reminder tool for those of us who have lots to do and a mind like a sieve. The following types of reminder can be created: One off, at a specified date and time; every 15 minutes; every 30 minutes; every 45 minutes; every hour; daily; monthly; weekly; annually; last day of the month; penultimate day of the month; the 1st,2nd,3rd,4th or last Monday of the month; the 1st,2nd,3rd,4th or last Tuesday of the month; the 1st,2nd,3rd,4th or last Wednesday of the month; the... -
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TimeSformer
The official pytorch implementation of our paper
TimeSformer is a vision transformer architecture for video that extends the standard attention mechanism into spatiotemporal attention. The model alternates attention along spatial and temporal dimensions (or designs variants like divided attention) so that it can capture both appearance and motion cues in video. Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch... -
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tensorflow_template_application
TensorFlow template application for deep learning
tensorflow_template_application is a template project that demonstrates how to structure scalable applications built with TensorFlow. The repository provides a standardized architecture that helps developers organize machine learning code into clear components such as data processing, model training, evaluation, and deployment. Instead of focusing on a specific algorithm, the project emphasizes software engineering practices that make machine learning systems easier to maintain and extend.... -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the... -
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Denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)
Denoiser is a real-time speech enhancement model operating directly on raw waveforms, designed to clean noisy audio while running efficiently on CPU. It uses a causal encoder-decoder architecture with skip connections, optimized with losses defined both in the time domain and frequency domain to better suppress noise while preserving speech. Unlike models that operate on spectrograms alone, this design enables lower latency and coherent waveform output. The implementation includes data... -
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MLOps Course
Learn how to design, develop, deploy and iterate on ML apps
The MLOps Course by Goku Mohandas is an open-source curriculum that teaches how to combine machine learning with solid software engineering to build production-grade ML applications. It is structured around the full lifecycle: data pipelines, modeling, experiment tracking, deployment, testing, monitoring, and iteration. The repository itself contains configuration, code examples, and links to accompanying lessons hosted on the Made With ML site, which provide detailed narrative explanations... -
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OpenNum
OpenNum lets you distribute solvers with a nice graphical interface
Typically, to program a GUI is time consuming and requires experience with graphic libraries. OpenNum lets you create a graphical interface adapted to your solvers by simply editing an XML configuration file. More specifically, OpenNum lets you · to collect a hierarchical dataset, · to call any executable file and · to visualize scalar and vector fields, plot graphs or show simple plain text files. It also has other useful utilities specifically designed for numerical... -
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speedtest-cli
Command line interface for testing internet bandwidth using speedtest
Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. Measure internet... -
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Zebrunner Community Edition
Test Automation Management Tool
Zebrunner CE (Community Edition) is a Test Automation Management Tool for continuous testing and continuous deployment. It allows you to run various kinds of tests and gain successive levels of confidence in the code quality. Zebrunner CE is integrated by default with Carina open-source TestNG framework and uses Jenkins as a CI Tool. It is built on top of popular docker solutions and includes Postgres database, Zebrunner Reporting, Jenkins Master/Slaves Nodes, Selenium Hub, Mobile... -
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DensePose
A real-time approach for mapping all human pixels of 2D RGB images
DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained... -
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Inventory Hunter
Get notified as soon as your next CPU, GPU, or console is in stock
Inventory Hunter is a stock-monitoring bot for tracking hard-to-find products such as CPUs, GPUs, and game consoles. It was originally created to help the maintainer get notified when an RTX 3070 became available. The project is designed to run continuously on a Raspberry Pi, always-on PC, Mac, or Docker-capable environment. It uses configuration files for supported retailer and product checks, then sends alerts through services such as Discord, Slack, Telegram, or email. The tool is focused... -
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Slatwall Commerce
Slatwall Commerce is the eCommerce Platform you've always wanted
Slatwall is built from the ground up for maximum flexibility, because responding to new opportunities requires you to adapt quickly. We work with our clients to customize Slatwall and meet the needs of their growing eCommerce businesses or new eCommerce channels. If you're tired of solutions that only get you 80% of the way there, then Slatwall is the eCommerce platform you've been searching for! -
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Keepsake
Version control for machine learning
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook. -
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pyment
Format and convert Python docstrings and generates patches
Create, update or convert docstrings in existing Python files, managing several styles. This Python3 program intends to help Python programmers to enhance inside code documentation using docstrings. It is useful for code not well documented, or code without docstrings, or some not yet or partially documented code, or a mix of all of this. It can be helpful also to harmonize or change a project docstring style format. It will parse one or several python scripts and retrieve existing... -
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Semantic Segmentation in PyTorch
Semantic segmentation models, datasets & losses implemented in PyTorch
Semantic segmentation models, datasets and losses implemented in PyTorch. PyTorch and Torchvision needs to be installed before running the scripts, together with PIL and opencv for data-preprocessing and tqdm for showing the training progress. PyTorch v1.1 is supported (using the new supported tensoboard); can work with earlier versions, but instead of using tensoboard, use tensoboardX. Poly learning rate, where the learning rate is scaled down linearly from the starting value down to zero... -
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Reminder
A simple reminder application
A simple reminder application to remind the users in a specified time interval given by the user. The reminding functionality will happen in two ways. 1. Remind Once: When user inputs the time in minutes and then click on "Remind Once", user will be reminded with a short sound after the specified time interval once. 2. Remind Continuously: When user inputs the time in minutes and then click on "Remind Continuously", user will be reminded with a short sound after every time... -
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MetaHash
#MetaHash is a next-generation network based on the Blockchain 4.0
#MetaHash is a next-generation network based on the Blockchain 4.0 technology for sharing digital assets and a platform for creating and managing decentralized apps and services in real-time. The #MetaHash project implements a solution that simultaneously possesses all the qualities of Blockchain new generation, namely: - Decentralization, which ensures absolute trust of users to the network; - Full synchronization, thanks to which each user has instant access to the most relevant... -
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Keras TCN
Keras Temporal Convolutional Network
TCNs exhibit longer memory than recurrent architectures with the same capacity. 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... -
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SLAMBook-en
The English version of 14 lectures on visual SLAM
This project is the English version of “14 Lectures on Visual SLAM: From Theory to Practice,” a text and teaching resource about visual simultaneous localization and mapping (SLAM). It provides the full LaTeX source (formerly Markdown) for all 14 chapters, letting readers compile and study the material systematically. Within the repository you’ll find organized subfolders (e.g. chapters, latex, resources) containing the lecture contents, references, figures, and supporting assets for each... -
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NotepadXP
An Advanced IDE Program for Windows 7/8/10.
Notepad XP is An Advanced IDE Program for Windows 7/8/10. This is currently not supported on old operating systems like Windows Vista/XP because .NET Framework 4.7.2 is not supported. Their is a lot of features of this program that may come in handy in some cases. This can be used for lot's of Programming Languages like Lua, or Python. -
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Learn Julia the Hard Way
Learn Julia the hard way
...Julia was developed with the occasional reference to R, and with an avowed intent to improve upon R's clunkiness. R is a great language, but relatively slow, to the point that most people use it to rapidly prototype, and then implement the algorithm for production in Python or Java. Julia seeks to be as approachable as R but without the speed penalty.
