Search Results for "machine learning python"
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Showing 154 open source projects for "machine learning python"
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1
RustScan
The Modern Port Scanner
The Modern Port Scanner. Find ports quickly (3 seconds at its fastest). Run scripts through our scripting engine (Python, Lua, Shell supported). Scans all 65k ports in 3 seconds. Full scripting engine support. Automatically pipe results into Nmap, or use our scripts (or write your own) to do whatever you want. Adaptive learning. RustScan improves the more you use it. No bloated machine learning here, just basic maths. The usuals you would expect. IPv6, CIDR, file input and more. ... -
2
PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,... -
3
Arize Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative)... -
4
CLIP-as-service
Embed images and sentences into fixed-length vectors
CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions. Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist... -
Business Automation Software for SMBsThe only software you need to increase cash flow, optimize resource utilization, and take control of your assets and inventory.
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5
Jina
Build cross-modal and multimodal applications on the cloud
Jina is a framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP,... -
6
OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. ... -
7
PyBoy
Game Boy emulator written in Python
It is highly recommended to read the report to get a light introduction to Game Boy emulation. But do be aware, that the Python implementation has changed a lot. The report is relevant, even though you want to contribute to another emulator or create your own. If you are looking to make a bot or AI, you can find all the external components in the PyBoy Documentation. There is also a short example on our Wiki page Scripts, AI and Bots as well as in the examples directory. If more features are... -
8
Imagen - Pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior... -
9
MicroPython
Python implementation for microcontrollers and constrained systems
MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an... -
My Member Software is the downloadable open source member administration program.My Member Software is User friendly frontend member administration, open source and downloadable. Associations, Clubs, Foundations and even companies can administrate their members and it is integrated in the CMS Joomla, but can also run beside a Wordpress or Drupal website. Member administration independend on time and place! Available in a do-it-yourself version or with us included, for a hassle free complete setup. We are also looking for partnerships with Accounting firms and webdesigners.
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10
whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
11
SDGym
Benchmarking synthetic data generation methods
...Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
12
Porcupine
On-device wake word detection powered by deep learning
Build always-listening yet private voice applications. Porcupine is a highly-accurate and lightweight wake word engine. It enables building always-listening voice-enabled applications. It is using deep neural networks trained in real-world environments. Compact and computationally-efficient. It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Edge. Linux... -
13
Coq Jupyter
Jupyter kernel for Coq
Make sure that CoqIDE (8.6 or newer) is installed and coqidetop or coqidetop.opt (coqtop for Coq versions before 8.9.0) is in your PATH. Also, make sure the python command is recognized on your machine. If not you can set up an alias for it e.g. python-is-python3 on Ubuntu. There are a number of convenience improvements over standard Jupyter notebook behavior that are implemented to support Coq-specific use cases. -
14
Genv
GPU environment management and cluster orchestration
Genv is an open-source environment and cluster management system for GPUs. Genv lets you easily control, configure, monitor and enforce the GPU resources that you are using in a GPU machine or cluster. It is intended to ease up the process of GPU allocation for data scientists without code changes. -
15
Power Pwn
Repurpose Microsoft-trusted executables, service accounts, etc.
Repurpose Microsoft-trusted executables, service accounts and cloud services to power a malware operation. These materials are presented from an attacker’s perspective with the goal of raising awareness to the risks of underestimating the security impact of No Code/Low Code. No Code/Low Code is awesome. -
16
AzkaOs
Open source operating system based flutter and kernel zircon
AzkaOS is a personal and experimental operating system project aiming to create a lightweight and customizable platform written primarily in Python and C/C++. It combines ideas from traditional desktop OSes with a scripting-heavy approach, offering a hybrid system that prioritizes ease of customization and user scripting. Though still in its early stages, AzkaOS aims to support desktop environments, package management, and basic system utilities while enabling users to control behavior... -
17
VVV
An open source Vagrant configuration for developing with WordPress
...Approachable development environment with a modern server configuration. Stable state of software and configuration in default provisioning. Excellent and clear documentation to aid in learning and scaffolding. VVV requires recent versions of both Vagrant and VirtualBox to be installed. Vagrant is a “tool for building and distributing development environments”. It works with virtualization software such as VirtualBox to provide a virtual machine sandboxed from your local environment. In addition to VirtualBox, provider support is also included for Parallels, Hyper-V, VMWare Fusion, and VMWare Workstation. -
18
Nvitop
An interactive NVIDIA-GPU process viewer and beyond
nvitop is an interactive NVIDIA device and process monitoring tool. It has a colorful and informative interface that continuously updates the status of the devices and processes. As a resource monitor, it includes many features and options, such as tree-view, environment variable viewing, process filtering, process metrics monitoring, etc. Beyond that, the package also ships a CUDA device selection tool nvisel for deep learning researchers. It also provides handy APIs that allow developers... -
19
rCore-Tutorial-Book-v3
A book about how to write OS kernels in Rust easily
rCore-Tutorial-Book-v3 is the official book for the third version of the rCore OS tutorial series, a comprehensive educational resource for learning operating system development using the Rust programming language. Targeted at the RISC-V architecture, this tutorial guides learners step-by-step through building a minimal, safe, and modern OS kernel from scratch. It is written in Markdown and powered by mdBook, making it easy to read, navigate, and contribute to. The book combines theoretical... -
20
Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
21
LangKit
An open-source toolkit for monitoring Language Learning Models (LLMs)
LangKit is an open-source text metrics toolkit for monitoring language models. It offers an array of methods for extracting relevant signals from the input and/or output text, which are compatible with the open-source data logging library whylogs. Productionizing language models, including LLMs, comes with a range of risks due to the infinite amount of input combinations, which can elicit an infinite amount of outputs. The unstructured nature of text poses a challenge in the ML observability... -
22
Qiling
Qiling Advanced Binary Emulation Framework
Cross-platform and multi-arch ultra lightweight emulator. Supported OS: Linux, MacOS, Windows, FreeBSD, DOS and UEFI. Support Arch: x86(16/32/64), ARM(64) MIPS, EVM and WASM. It also support Linux Kernel Module(.ko) , Windows Driver(.sys) and MacOS Kernel(.kext) via Demigod. Binary instrumentation and API are Qiling Framework's main focus and priority. It is designed for reverse engineers - thus there is no need to rebuild another sand boxing tool. Using Qiling Framework saves you time. The... -
23
OpenSnitch
OpenSnitch is a GNU/Linux port of the Little Snitch firewall
OpenSnitch is a GNU/Linux port of the Little Snitch firewall. You can launch the GUI from the icon or from the system menu. The daemon will start intercepting connections, prompting you to allow or deny them. If you don't apply an action, after 15 seconds (configurable) it'll apply the default action configured. When you open the GUI, you'll see all the connections and processes that the daemon has intercepted. Double click on a row to view the details of a process, rule, host or user. Once... -
24
Hyperledger Cello
Operating System for Enterprise Blockchain
Hyperledger Cello is a blockchain operation and provisioning system designed to automate the deployment, management, and scaling of Hyperledger Fabric networks. As part of the Hyperledger project under the Linux Foundation, Cello aims to offer Blockchain-as-a-Service (BaaS) by abstracting the complexity of infrastructure setup for consortiums and enterprises. It provides a dashboard, APIs, and orchestration tools to help users create, monitor, and manage blockchain nodes, ledgers, and... -
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Mail-in-a-Box
Take back control of your email with this mail server in a box
Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server, a mail server in a box. Mail-in-a-Box lets you become your own mail service provider in a few easy steps. It’s sort of like making your own gmail, but one you control from top to bottom. Technically, Mail-in-a-Box turns a fresh cloud computer into a working mail server. But you don’t need to be a technology expert to set it up. Our goals are to make deploying...
