Search Results for "sarvesh-project" - Page 54
Sort By:
Showing 3486 open source projects for "sarvesh-project"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
1
PlaystoreDownloader
A command line tool to download Android applications
...There are two ways of getting a working copy of PlaystoreDownloader on your own computer: either by using Docker or by using directly the source code in a Python 3 environment. In both cases, the first thing to do is to get a local copy of this repository, so open up a terminal in the directory where you want to save the project and clone the repository. Apart from valid Google Play Store credentials, the only requirement of this project is a working Python 3 (at least 3.7) installation and pipenv (for dependency management). -
2
BeaEngine 5
BeaEngine disasm project
BeaEngine is a C library designed to decode instructions from 16-bit, 32-bit and 64-bit intel architectures. It includes standard instructions set and instructions set from FPU, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, VMX, CLMUL, AES, MPX, AVX, AVX2, AVX512 (VEX & EVEX prefixes), CET, BMI1, BMI2, SGX, UINTR, KL, TDX and AMX extensions. If you want to analyze malicious codes and more generally obfuscated codes, BeaEngine sends back a complex structure that describes precisely the... -
3
Image GPT
Large-scale autoregressive pixel model for image generation by OpenAI
Image-GPT is the official research code and models from OpenAI’s paper Generative Pretraining from Pixels. The project adapts GPT-2 to the image domain, showing that the same transformer architecture can model sequences of pixels without altering its fundamental structure. 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. ... -
4
BackSlash Linux
Linux based operating system with OOBE - comprises of FOSS.
...BackSlash Linux is going to discontinued as of Sept 15, 2021 for a good reason. There is an article on the main page of https://www.backslashlinux.com which will explain the reason of the discontinuation of the project and future plans. I thank you all for the love and support. -
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.
-
5
Python Calculator
My own project
Made like in one day, using PyQT5, QT Designer, and PyInstaller -
6
hk_classes_fork
hk_classes fork
Bugfixes of discontinued project hk_classes -
7
ALAE
Adversarial Latent Autoencoders
ALAE (Adversarial Latent Autoencoders) is a deep learning research implementation that combines autoencoders with generative adversarial networks to produce high-quality image synthesis models. The project implements the architecture introduced in the CVPR research paper on Adversarial Latent Autoencoders, which focuses on improving generative modeling by learning latent representations aligned with adversarial training objectives. Unlike traditional GANs that directly generate images from random noise, ALAE uses an encoder-decoder architecture that maps images into a structured latent space and then reconstructs them through adversarial training. ... -
8
...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
-
9
Flask-MongoEngine
MongoEngine flask extension with WTF model forms support
...To install flask-mongoengine with required dependencies use legacy extra option. Flask-mongoengine can be installed with Flask-WTF and WTFForms support. This will extend project dependencies with Flask-WTF, WTFForms and related packages. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
10
CodeBeagle
A tool to search source code based on a full text index
...Advanced features are the support of multiple search locations, extensible context menus and custom search scripts which allow to automate sequences of searches. Project moved to GitHub: https://github.com/otengler/CodeBeagle -
11
Neural Networks Collection
Neural Networks Collection
This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people. -
12
commit-autosuggestions
A tool that AI automatically recommends commit messages
...However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab. -
13
Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
...This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training. -
14
PyVakitci
Namaz vakitlerini gösterir, ezan okur.
...Son güncelleme 27 Aralık 2020 tarihinde yapılmıştır. Program çalıştırılırken hata verirse Microsoft Visual C++ 2010 Redistributable Package (x86) dosyasının kurulması gerekiyor: http://master.dl.sourceforge.net/project/pyvakitci2011/vcredist_x86.exe Bu kurulurken Windows Installer ile ilgili bir hata verirse bu bağlantıdan sisteminize uygun olanı kurduktan sonra tekrar deneyebilirsiniz: http://www.microsoft.com/tr-tr/download/details.aspx?id=8483 -
15
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray
...Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help identify publications that are not already included using a GitHub issue (DOIs we have are listed in the metadata file). There is a searchable database of COVID-19 papers. We want to improve prognostic predictions to triage and manage patient care. ... -
16
Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model. -
17
Zipline
Zipline, a Pythonic algorithmic trading library
...For a development installation (used to develop Zipline itself), create and activate a virtualenv, then run the etc/dev-install script. Please note that Zipline is not a community-led project. Zipline is maintained by the Quantopian engineering team, and we are quite small and often busy. -
18
Metrix++
Management of source code quality is possible.
The project has been moved to https://github.com/metrixplusplus/metrixplusplus ______________________ Metrix++ is an extendable tool to collect and analyse code metrics. - Multiple languages supported - Multiple metrics available - Configurable. Every metric has got 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules. -
19
Eiten
Statistical and Algorithmic Investing Strategies for Everyone
Eiten is an open-source Python project focused on providing statistical and algorithmic trading strategies powered by data analysis and machine learning techniques. It is designed to make quantitative investing more accessible by offering ready-to-use strategies that analyze market behavior, detect patterns, and generate actionable insights. The project includes tools for evaluating stock performance, identifying trends, and applying algorithmic models to financial data, enabling users to experiment with different investment approaches. ... -
20
Beamology
Beamology: Semicom Project Management
Beamology is the leading field of project management for SuperWikia Alpha semicom codesmiths. Its residency programs offer vital resources for SuperWikia vertical environment development and utilities needed for SA-VEC certification. Beamology residents are automatically licensed to access the Transcom system. -
21
surpriver
Find big moving stocks before they move using machine learning
...The framework includes modules for retrieving market data, computing technical indicators, and applying anomaly detection algorithms to identify unusual patterns. The project is intended as a research tool for quantitative finance experiments and algorithmic trading strategy development. -
22
ModbusPal - a Java MODBUS simulator
Modbus slave simulator
ModbusPal is a project to develop a PC-based Modbus simulator. Its goal is to reproduce a realistic environment, with many slaves and animated register values. Almost everything in ModbusPal can be customized and controlled by scripts. -
23
Makani
Makani was developed a commercial-scale airborne wind turbine
Makani was an ambitious Google X project that sought to harness wind energy using airborne wind turbines — autonomous kites capable of generating power while flying in crosswind patterns. This open-source repository contains the complete software stack that powered Makani’s research and flight systems, including the flight simulator, autopilot controller, avionics firmware, visualization tools, and ground control software. -
24
TimothyDocs
Timothy is a cloud base storage system designed to document your work
Timothy is a cloud based documentation system. Timothy will document any endeavor because it will store not only the documents created during the project but also store information about those files. Like most storge schemes timothy creates a hierarchy of categories through which one may browse. Timothy displays information about the document or category as well as its name. This use of meta data explains the structure and content of the project to the user as he browses. ... -
25
Brewery HMI
Web app for all-grain brewers. Automate your electric brewery.
This project is UI to guide the user through the steps of home brewing. Each beer has a recipe of ingredients, but it also has a “recipe” for the process to make the beer. This app allows you to load a recipe (BeerXML), guide you through the brewing steps and record any details so that you can improve next time. By default, this app relies on user inputs and feedback from the real-world.
