Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 65
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Showing 2747 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Intelligent testing agents | Checksum.aiCoding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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End-To-End Document Management SoftwareUnForm® is a platform-independent software product that creates, delivers, stores and retrieves graphically enhanced documents from ERP application printing. A complete, end-to-end document management solution, UnForm interfaces at the point of printing to produce documents in various formats for printing and electronic delivery.
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1
TensorFlow Ranking
Learning to rank in TensorFlow
...Multi-item (also known as groupwise) scoring functions. LambdaLoss implementation for direct ranking metric optimization. Unbiased Learning-to-Rank from biased feedback data. We envision that this library will provide a convenient open platform for hosting and advancing state-of-the-art ranking models based on deep learning techniques, and thus facilitate both academic research and industrial applications. We provide a demo, with no installation required, to get started on using TF-Ranking. This demo runs on a colaboratory notebook, an interactive Python environment. ... -
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Face Recognition based attendance system which can also be used for security purposes In the Install directory, navigate to Vissemantics/Vissemantics Face Attendance/latestwinalphadistr/winalphadistr/dist/main and run main.exe Please change facial data password to desired password after entering application by clicking on Help and Change Password. Old Password is 'vissemantics'.
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Node ChatGPT API
A client implementation for ChatGPT and Bing AI
...Replicates chat threads from the official ChatGPT website (with conversation IDs and message IDs), with persistent conversations using Keyv. Conversations are stored in memory by default, but you can optionally install a storage adapter to persist conversations to a database. -
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langchain-prefect
Tools for using Langchain with Prefect
...We need to know details about how our apps work, even when we want to use tools with convenient abstractions that may obfuscate those details. Prefect is built to help data people build, run, and observe event-driven workflows wherever they want. It provides a framework for creating deployments on a whole slew of runtime environments (from Lambda to Kubernetes), and is cloud agnostic (best supports AWS, GCP, Azure). For this reason, it could be a great fit for observing apps that use LLMs. RecordLLMCalls is a ContextDecorator that can be used to track LLM calls made by Langchain LLMs as Prefect flows. ... -
Create and manage the email signature you needWith WiseStamp it’s easy to unify your brand and turn your emails into a powerful marketing tool. Get the most out of your emails with a professionally designed custom email signature.
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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
...Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather than continuous signal regression as in previous work. During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems. VALL-E emerges in-context learning capabilities and can be used to synthesize high-quality personalized speech with only a 3-second enrolled recording of an unseen speaker as an acoustic prompt. Experiment results show that VALL-E significantly outperforms the state-of-the-art zero-shot TTS system in terms of speech naturalness and speaker similarity. ... -
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VAMS
Virtual Assistant Maintenance System
Virtual Assistant Maintenance System also knowns as VAMS is an AI software application, that helps users with some computer maintenance issues. Application Requirements: Operating System: Windows 8.1/10 /11 Processor: Intel Core i5 or equivalent RAM: 4GB or higher Free Disk Space: 500MB -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
...You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. Spektral implements some of the most popular layers for graph deep learning. Spektral also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. Spektral is compatible with Python 3.6 and above, and is tested on the latest versions of Ubuntu, MacOS, and Windows. ... -
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
...The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and existing tracks. This relatively simple design allows the tracker to achieve very high processing speeds while maintaining competitive tracking accuracy. The project also introduces new evaluation metrics specifically designed for assessing performance in 3D tracking benchmarks. The framework has been evaluated on widely used datasets such as KITTI and nuScenes and demonstrates strong performance compared with more complex tracking systems. -
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AI-Agent-Host
The AI Agent Host is a module-based development environment.
...Being data-aware involves connecting a language model to other sources of data, enabling a comprehensive understanding and analysis of information. -
The all-in-one Omnichannel Experience Management PlatformBuild conversational surveys of any type, for any purpose, in any language. Get 40% more responses.
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E5SubBot
Telebot for E5 Renewal
A simple Telegram bot for E5 renewal. -
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ChatLLM Web
Chat with LLM like Vicuna totally in your browser with WebGPU
Chat with LLM like Vicuna totally in your browser with WebGPU, safely, privately, and with no server. Powered By web-llm. To use this app, you need a browser that supports WebGPU, such as Chrome 113 or Chrome Canary. Chrome versions ≤ 112 are not supported. You will need a GPU with about 6.4GB of memory. If your GPU has less memory, the app will still run, but the response time will be slower. The first time you use the app, you will need to download the model. For the Vicuna-7b model that... -
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SentimentAnalysis-Rick&Morty
Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR
The remarkable progress in the field of Big Data has driven the development of new technologies in natural language processing and data analysis. Text mining is a fascinating application of data analysis that extracts relevant information from related writings in different linguistic contexts. And therefore, in natural language processing, sentiment analysis and classification stands out as a key application supported by text mining. -
13
llm
An ecosystem of Rust libraries for working with large language models
...Text generation can be done as a one-off based on a prompt, or interactively, through REPL or chat modes. The CLI can also be used to serialize (print) decoded models, quantize GGML files, or compute the perplexity of a model. It can be downloaded from the latest GitHub release or by installing it from crates.io. -
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Leon
Leon is your open-source personal assistant
...The architecture emphasizes modularity: you can plug in different language models, intent recognizers, or action handlers to tailor Leon for specific domains like productivity, home automation, or developer tooling. Because it runs independently of third-party cloud services, Leon gives users full control over their data and system behavior, which is especially important for privacy-conscious users and organizations. -
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ChatGPT Plugins Collection
An unofficial collection of Plugins for ChatGPT
...It is designed to serve both as a learning resource for beginners and a reference point for more experienced developers. By centralizing community contributions, the repository highlights practical applications of plugins across domains such as productivity, data access, and automation. The project also serves as a starting point for developers interested in building their own custom plugins, offering inspiration and code samples. With its open structure, it encourages collaboration and knowledge sharing in the growing ecosystem of ChatGPT extensions. -
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LlamaChat
Chat with your favourite LLaMA models in a native macOS app
Chat with your favourite LLaMA models, right on your Mac. LlamaChat is a macOS app that allows you to chat with LLaMA, Alpaca, and GPT4All models all running locally on your Mac. -
17
NanoDet-Plus
Lightweight anchor-free object detection model
...These improvements boost previous NanoDet's detection accuracy by 7 mAP on COCO dataset. NanoDet provide multi-backend C++ demo including ncnn, OpenVINO and MNN. There is also an Android demo based on ncnn library. Supports various backends including ncnn, MNN and OpenVINO. Also provide Android demo based on ncnn inference framework. -
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OGB
Benchmark datasets, data loaders, and evaluators for graph machine
...OGB fully automates dataset processing. The OGB data loaders automatically download and process graphs, provide graph objects that are fully compatible with Pytorch Geometric and DGL. OGB provides standardized dataset splits and evaluators that allow for easy and reliable comparison of different models in a unified manner. -
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wechat-chatgpt
Use ChatGPT On Wechat via wechaty
Use ChatGPT On Wechat via wechaty Interact with WeChat and ChatGPT: Use ChatGPT on WeChat with wechaty and Official API Add conversation support Support command setting Deployment and configuration options: Add Dockerfile, deployable with docker Support deployment using docker compose Support Railway and Fly.io deployment Other features: Support Dall·E Support whisper Support setting prompt Support proxy (in development) -
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Snipe Chan Discord Bot
Snipe Chan is a Discord Bot that snipes deleted/edited messages
...Snipe Chan is a Discord Bot that snipes messages, you will have to run your own snipe bot with the code provided because of the limitations of Discord TOS. Features - Snipe messages - Snipe files - Sniped cache -Editable settings in config.yml -[prefix]help - help menu -[prefix]snipe - shows the latest snipe -[prefix]sniped [index] - shows a snipe in sniped cache - [prefix]snipelist [index | nothing] - shows interactive snipe list (Prev | Next | Hide | Remove) ---[Prev] - browse previous snipe --- [Next] - browse next snipe --- [Hide List] - hide embed --- [Remove Snipe] - remove from cache - [prefix]remove [index] - removes index from cache - [prefix]clear - clears cache - [prefix]version - check for newer versions -
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Alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
Run a fast ChatGPT-like model locally on your device. This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint... -
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NOW
No-code tool for creating a neural search solution in minutes
...In this case, NOW asks for the URI to the S3 bucket, as well as the credentials and region thereof. A final step in loading your data is to choose the fields of your data that you would like to use for search and filter respectively. -
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Clarity AI
A Perplexity clone
Clarity AI is an AI-powered “search + chat” tool (similar in spirit to a simplified “AI-powered search engine / assistant”) created by Mckay Wrigley — intended to let users ask questions, get answers, and explore information via conversational interface rather than traditional search. The codebase (TypeScript) leverages LLMs / embeddings to process user queries, retrieve relevant data or context, and respond conversationally; this makes it useful as a personal knowledge assistant, research helper, or Q&A front end over arbitrary datasets or web-available info. Because Clarity AI is open-source, developers can adapt the backend or retrieval logic, integrate their own data sources (databases, documents, APIs), and build custom assistants or knowledge bots tailored to their needs. ... -
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ChatGenTitle
A paper title generation model fine-tuned on the LLaMA model
ChatGenTitle: A paper title generation model fine-tuned on the LLaMA model using information from millions of arXiv papers. -
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PIFuHD
High-Resolution 3D Human Digitization from A Single Image
PIFuHD (Pixel-Aligned Implicit Function for 3D human reconstruction at high resolution) is a method and codebase to reconstruct high-fidelity 3D human meshes from a single image. It extends prior PIFu work by increasing resolution and detail, enabling fine geometry in cloth folds, hair, and subtle surface features. The method operates by learning an implicit occupancy / surface function conditioned on the image and camera projection; at inference time it queries dense points to reconstruct a...
