Search Results for "multi-system" - Page 60
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Showing 2682 open source projects for "multi-system"
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axflow
The TypeScript framework for AI development
...Because each component can be used independently, developers can adopt Axflow incrementally rather than committing to a monolithic framework. This flexibility makes the system suitable for both experimentation and production environments. -
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RAGs
Build ChatGPT over your data, all with natural language
...Once the pipeline is created, the system enables conversational queries over the connected data sources, effectively creating a personalized knowledge assistant. -
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EvaDB
Database system for building simpler and faster AI-powered application
Over the last decade, AI models have radically changed the world of natural language processing and computer vision. They are accurate on various tasks ranging from question answering to object tracking in videos. To use an AI model, the user needs to program against multiple low-level libraries, like PyTorch, Hugging Face, Open AI, etc. This tedious process often leads to a complex AI app that glues together these libraries to accomplish the given task. This programming complexity prevents... -
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Detectron
FAIR's research platform for object detection research
...Built on Caffe2 with custom CUDA/C++ operators, it provided reference implementations for models like Faster R-CNN, Mask R-CNN, RetinaNet, and Feature Pyramid Networks. The framework emphasized a clean configuration system, strong baselines, and a “model zoo” so researchers could compare results under consistent settings. It includes training and evaluation pipelines that handle multi-GPU setups, standard datasets, and common augmentations, which helped standardize experimental practice in detection research. Visualization utilities and diagnostic scripts make it straightforward to inspect predictions, proposals, and losses while training. ... -
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Parallel WaveGAN
Unofficial Parallel WaveGAN
Parallel WaveGAN is an unofficial PyTorch implementation of several state-of-the-art non-autoregressive neural vocoders, centered on Parallel WaveGAN but also including MelGAN, Multiband-MelGAN, HiFi-GAN, and StyleMelGAN. Its main goal is to provide a real-time neural vocoder that can turn mel spectrograms into high-quality speech audio efficiently. The repository is designed to work hand-in-hand with ESPnet-TTS and NVIDIA Tacotron2-style front ends, so you can build complete TTS or singing... -
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spaGO
Self-contained Machine Learning and Natural Language Processing lib
...The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible. Spago uses a multi-module workspace to ensure that additional dependencies are downloaded only when specific features (e.g. persistent embeddings) are used. A good place to start is by looking at the implementation of built-in neural models, such as the LSTM. Except for a few linear algebra operations written in assembly for optimal performance (a bit of copying from Gonum), it's straightforward Go code, so you don't have to worry. -
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SageMaker Inference Toolkit
Serve machine learning models within a Docker container
...The SageMaker Inference Toolkit implements a model serving stack and can be easily added to any Docker container, making it deployable to SageMaker. This library's serving stack is built on Multi Model Server, and it can serve your own models or those you trained on SageMaker using machine learning frameworks with native SageMaker support. -
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Aphantasia
CLIP + FFT/DWT/RGB = text to image/video
...Tested on Python 3.7 with PyTorch 1.7.1 or 1.8. Generating massive detailed textures, a la deepdream, fullHD/4K resolutions and above, various CLIP models (including multi-language from SBERT), continuous mode to process phrase lists (e.g. illustrating lyrics), pan/zoom motion with smooth interpolation. Direct RGB pixels optimization (very stable) depth-based 3D look (courtesy of deKxi, based on AdaBins), complex queries: text and/or image as main prompts, separate text prompts for style and to subtract (avoid) topics. ... -
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video-subtitle-remover
AI-based tool for removing hardsubs and text-like watermarks
Video-subtitle-remover (VSR) is an AI-based software that removes hardcoded subtitles from videos or Pictures. -
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FEDML Open Source
The unified and scalable ML library for large-scale training
...TensorOpera AI is the next-gen cloud service for LLMs & Generative AI. It helps developers to launch complex model training, deployment, and federated learning anywhere on decentralized GPUs, multi-clouds, edge servers, and smartphones, easily, economically, and securely. Highly integrated with TensorOpera open source library, TensorOpera AI provides holistic support of three interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds. ... -
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AutoGPT.js
Auto-GPT on the browser
AutoGPT.js is an open-source project that brings autonomous AI agent capabilities similar to AutoGPT directly into the browser environment. The system allows users to run an AI agent capable of performing tasks such as generating code, searching the web, and interacting with files on the local computer. Unlike traditional AutoGPT implementations that require server infrastructure, AutoGPT.js is designed to run primarily in the browser, making it easier to deploy and experiment with autonomous agents. ... -
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Liveliness and Face Identification
Leading free and open-source liveliness check &face recognition system
...If user's pic is in DB, it will show the matching name or else you can upload your pic with name to do detection. Application has many uses like door lock, attendance system or any similar identification usages. Face Recognition is highly accurate and simplest application -
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ChatGPT Web
ChatGPT demo webpage built with Express and Vue3
ChatGPT demo webpage built with Express and Vue3. Supports dual models, providing two unofficial ChatGPT API methods. You should first use the API way. If the network is not available, it means that the country is blocked, and you need to build your own proxy. Never use other people's public proxy, it is dangerous. The reverse proxy will expose your access tokens to third parties when using the accessTokenthe method, and doing so should have no ill effects, but consider the risks before... -
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CoTracker
CoTracker is a model for tracking any point (pixel) on a video
CoTracker is a learning-based point tracking system that jointly follows many user-specified points across a video, rather than tracking each point independently. By reasoning about all tracks together, it can maintain temporal consistency, handle mutual occlusions, and reduce identity swaps when trajectories cross. The model takes sparse point queries on one frame and predicts their sub-pixel locations and a visibility score for every subsequent frame, producing long, coherent trajectories. ... -
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gpu_poor
Calculate token/s & GPU memory requirement for any LLM
...The project focuses on calculating GPU memory requirements and predicted inference speed for different models, hardware configurations, and quantization strategies. By analyzing factors such as model size, context length, batch size, and GPU specifications, the system estimates how much VRAM will be required and how fast tokens can be generated during inference. The tool also provides a detailed breakdown of where GPU memory is allocated, including model weights, KV cache, activations, and other runtime overhead. This information allows developers to evaluate trade-offs between different quantization methods such as GGML, bitsandbytes, and QLoRA before attempting to deploy a model. gpu_poor is particularly useful for researchers and hobbyists. -
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DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
DragGAN is a research-driven image editing system that enables precise manipulation of GAN-generated images through interactive point dragging. The project introduces a novel workflow where users move specific points in an image and the model intelligently deforms the content while preserving realism. Built on top of StyleGAN architectures, the tool operates directly on the learned generative manifold to maintain photorealistic consistency. -
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Demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
...Demucs supports GPU-accelerated inference and can process multi-channel audio with chunked streaming for real-time or batch operation. It also provides training scripts and utilities to fine-tune on custom datasets, along with remixing and enhancement tools. -
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Asteroid
The PyTorch-based audio source separation toolkit for researchers
...Extending the toolkit with new features is simple. Add a new filterbank, separator architecture, dataset or even recipe very easily. Recipes provide an easy way to reproduce results with data preparation, system design, training and evaluation in a single script. This is an essential tool for the community! The default logger is TensorBoard in all the recipes. From the recipe folder, you can run the following to visualize the logs of all your runs. -
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DevOpsGPT
Multi agent system for AI-driven software development
Welcome to the AI Driven Software Development Automation Solution, abbreviated as DevOpsGPT. We combine LLM (Large Language Model) with DevOps tools to convert natural language requirements into working software. This innovative feature greatly improves development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery. The automated software development process significantly reduces delivery time, accelerating software... -
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ChatGPT Desktop Application
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
ChatGPT Desktop Application (Mac, Windows and Linux) -
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D2L.ai
Interactive deep learning book with multi-framework code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. -
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X-UI
Lightweight Xray panel with multi-protocol and multi-user
The xray panel supports single-end multi-user and multi-protocol. Monitor and manage your agency services conveniently and quickly through free Telegram bot. -
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Basaran
Basaran, an open-source alternative to the OpenAI text completion API
...The open source community will eventually witness the Stable Diffusion moment for large language models (LLMs), and Basaran allows you to replace OpenAI's service with the latest open-source model to power your application without modifying a single line of code. Stream generation using various decoding strategies. Support both decoder-only and encoder-decoder models. Detokenizer that handles surrogates and whitespace. Multi-GPU support with optional 8-bit quantization. Real-time partial progress using server-sent events. Compatible with OpenAI API and client libraries. Comes with a fancy web-based playground. Docker images are available on Docker Hub and GitHub Packages. -
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Telegram API Library
Complete async capable Telegram bot API implementation for PHP7
This is a PHP7 bot API implementation for Telegram implementing the vast majority of Bot API up until v4.7. The only thing it does not implement is Telegram Passport which was introduced in Bot API v4.0. It is unlikely to be introduced as it may introduce security vulnerabilities. However, if you think you have a strong case for the need, feel free to let me know. Enables you to anything supported by the Telegram Bot API: messages, stickers, location, inline bots and any other supported...
