Search Results for "ekho-data" - Page 21
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Showing 3594 open source projects for "ekho-data"
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DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
DeepSeek-V3.2-Exp is an experimental release of the DeepSeek model family, intended as a stepping stone toward the next generation architecture. The key innovation in this version is DeepSeek Sparse Attention (DSA), a sparse attention mechanism that aims to optimize training and inference efficiency in long-context settings without degrading output quality. According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely... -
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Chronos Forecasting
Pretrained (Language) Models for Probabilistic Time Series Forecasting
...Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes. -
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SenseVoice
Multilingual speech recognition and audio understanding model
...It provides capabilities such as automatic speech recognition, spoken language identification, speech emotion recognition, and audio event detection within a single system. SenseVoice is trained on more than 400,000 hours of speech data and supports over 50 languages for multilingual recognition tasks. It is built to achieve high transcription accuracy while maintaining efficient inference performance. It includes different model variants optimized for either speed or accuracy, allowing developers to choose a configuration suitable for their use case. In addition to speech transcription, SenseVoice can detect emotional cues in speech and identify common sound events such as applause, laughter, or coughing. ... -
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LLaMA-Mesh
Unifying 3D Mesh Generation with Language Models
...The project includes a supervised fine-tuning dataset composed of interleaved text and mesh data, allowing the model to learn relationships between textual descriptions and 3D structures. As a result, the model can generate mesh models directly from text prompts, explain mesh structures in natural language, or output mixed text-and-mesh sequences. This unified representation enables a single model to operate across both textual and spatial domains. -
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TrendRadar
AI-driven public opinion trend monitor with multi-platform aggregation
...Users can deploy it quickly via Python and GitHub Actions, and it also supports RSS feeds and Docker deployment for flexible integration. By combining AI judgment with broad data ingestion, TrendRadar empowers individuals and teams to track public opinion, news cycles, and emerging topics without manual scanning of dozens of websites. -
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Acontext
Context data platform for building observable, self-learning AI agents
Acontext is a cloud-native context data platform designed to support the development and operation of advanced AI agents. It provides a unified system to store and manage contexts, multimodal messages, artifacts, and task workflows, enabling developers to engineer context effectively for their agent products. The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. -
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Public APIs
A collective list of free APIs
public-apis is a collaboratively maintained repository that provides an extensive, categorized list of publicly available APIs for developers. Curated by community contributors and the team at APILayer, it serves as a centralized resource for discovering APIs across a wide range of domains, including data, machine learning, weather, entertainment, and finance. The project aims to make API exploration and integration more accessible by offering a single, organized index of open and free-to-use APIs. Developers can leverage this list to enhance their products, prototypes, or research projects without the need to build data sources from scratch. ... -
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mistletoe
A fast, extensible and spec-compliant Markdown parser in pure Python
mistletoe is a Markdown parser in pure Python, designed to be fast, spec-compliant and fully customizable. Apart from being the fastest CommonMark-compliant Markdown parser implementation in pure Python, mistletoe also supports easy definitions of custom tokens. Parsing Markdown into an abstract syntax tree also allows us to swap out renderers for different output formats, without touching any of the core components. -
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Rebiber
A simple tool to update bib entries with their official information
We often cite papers using their arXiv versions without noting that they are already PUBLISHED in some conferences. These unofficial bib entries might violate rules about submissions or camera-ready versions for some conferences. We introduce Rebiber, a simple tool in Python to fix them automatically. It is based on the official conference information from the DBLP or the ACL anthology (for NLP conferences)! You can check the list of supported conferences here. Apart from handling outdated... -
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PackageDev
Tools to ease the creation of snippets, syntax definitions, etc.
PackageDev provides syntax highlighting and other helpful utility for Sublime Text resource files. Resource files are ways of configuring the Sublime Text text editor to various extends, including but not limited to: custom syntax definitions, context menus (and the main menu), and key bindings. Thus, this package is ideal for package developers, but even normal users of Sublime Text who want to configure it to their liking should find it very useful. -
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Petastorm
Petastorm library enables single machine or distributed training
...On top of a Parquet schema, petastorm also stores higher-level schema information that makes multidimensional arrays into a native part of a petastorm dataset. Petastorm supports extensible data codecs. These enable a user to use one of the standard data compressions (jpeg, png) or implement her own. -
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Watchman
A file watching service that records when files change
Watchman purpose is to watch files and record when there are changes. It can trigger actions (rebuilding assets, for example) when there is a change in matching files. The watchman executable has both the client and the server components of the watchman service. When running watchman, it will attempt to communicate with your existing server instance (each user has their own persistent process), and will attempt to start it if it doesn’t exist. There are some options that affect how watchman... -
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Feature-engine
Feature engineering package with sklearn like functionality
Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow Scikit-learn's functionality with fit() and transform() methods to learn the transforming parameters from the data and then transform it. -
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Recommenders 2023
Best Practices on Recommendation Systems
Recommenders objective is to assist researchers, developers and enthusiasts in prototyping, experimenting with and bringing to production a range of classic and state-of-the-art recommendation systems. Recommenders is a project under the Linux Foundation of AI and Data. -
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Pyodide
Pyodide is a Python distribution for the browser and Node.js
...It allows developers to run Python code directly in web browsers without a server, supporting packages like NumPy, Pandas, and Matplotlib. Pyodide opens up new possibilities for interactive data analysis, scientific computing, and educational tools in web environments, all while integrating seamlessly with JavaScript. -
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Plaso
Super timeline all the things
Plaso (Plaso Langar Að Safna Öllu), or "super timeline all the things," is a Python-based engine designed for automatic creation of timelines in digital forensic investigations. It processes various log files and artifacts to generate a chronological sequence of events, aiding analysts in understanding system activities. -
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Streamlink
Streamlink is a CLI utility which pipes video streams
...The main purpose of Streamlink is to avoid resource-heavy and unoptimized websites, while still allowing the user to enjoy various streamed content. There is also an API available for developers who want access to the stream data. Streamlink is built upon a plugin system that allows support for new services to be easily added. Most of the big streaming services are supported. Streamlink is made up of two parts, a cli and a library API. See their respective sections for more information on how to use them. The default behavior of Streamlink is to playback streams in the VLC player. ... -
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truffleHog
Searches through git repositories for high entropy strings and secrets
truffleHog searches through git repositories for high entropy strings and secrets, digging deep into commit history. TruffleHog runs behind the scenes to scan your environment for secrets like private keys and credentials, so you can protect your data before a breach occurs. Secrets can be found anywhere, so TruffleHog scans more than just code repositories, including SaaS and internally hosted software. With support for custom integrations and new integrations added all the time, you can secure your secrets across your entire environment. TruffleHog is developed by a team entirely comprised of career security experts. ... -
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Zipline Reloaded
Zipline, a Pythonic Algorithmic Trading Library
...It continues the original Zipline project after Quantopian ended operations. Developers write trading algorithms while the engine simulates orders, market events, portfolio changes, and strategy performance over historical data. Common statistics such as moving averages and linear regression are available within algorithm workflows. Pandas-based input and output integrate naturally with the broader Python data-science ecosystem. Strategies can also use libraries such as SciPy, Matplotlib, statsmodels, and scikit-learn for analysis and modeling. The maintained fork updates dependencies and compatibility so the established Zipline workflow remains usable on modern Python environments. -
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ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
ThinkStats2 is the code and text companion for the second edition of Think Stats, an introduction to statistics and data science for Python programmers. It teaches probability and statistical reasoning through short programs, experiments, and analysis of real datasets. The material emphasizes exploratory methods that help readers ask and answer practical questions with data. Case studies draw from public sources, including health-related datasets, to connect abstract concepts with realistic analysis. ... -
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DeepSpec
A full-stack codebase for training and evaluating speculative decoding
DeepSpec is a full-stack codebase for training and evaluating draft models used in speculative decoding. It provides the components needed to prepare data, train draft models, and measure acceptance behavior against target models. The workflow starts with data preparation, including prompt download, target answer regeneration, and target cache construction. It then trains a draft model using configuration files for different algorithms and target model setups. The evaluation pipeline measures speculative decoding performance across benchmark tasks such as math, coding, instruction-following, and chat-style datasets. ... -
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Claude Ads
Comprehensive paid advertising audit & optimization skill
...The architecture uses parallel subagents to speed up audits and includes financial modeling and A/B testing guidance. It runs locally, ensuring privacy and control over sensitive advertising data. The project is aimed at replacing manual audit workflows with fast, automated, and repeatable analysis. -
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autoresearch for AMD
AI agents running research on single-GPU nanochat training
autoresearch for AMD is a framework for autonomous scientific experimentation in machine learning, enabling AI agents to iteratively improve models through a continuous loop of hypothesis generation, experimentation, and evaluation. The system is built around a minimal structure that includes a data preparation module, a training script that can be modified, and a program specification that guides the agent’s decision-making process. During each iteration, the agent edits the training code, runs an experiment within a fixed time budget, evaluates performance metrics, and decides whether to retain or discard the changes. This loop allows the system to explore a wide range of architectural and hyperparameter configurations without human intervention. ... -
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Cr3dOv3r
Know the dangers of credential reuse attacks
...The system integrates with external APIs and services to gather breach data and perform automated checks efficiently. It supports multiple modes of operation, including leak-only analysis and credential testing workflows. -
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Biomni
Biomni: a general-purpose biomedical AI agent
Biomni is a general-purpose biomedical AI agent designed to autonomously perform complex research tasks across a wide range of scientific domains, combining language model reasoning with structured planning and execution. It integrates retrieval-augmented generation with code-based execution, allowing it to access external knowledge, process data, and generate testable hypotheses in scientific workflows. The system is built to support researchers by automating repetitive and time-consuming tasks such as literature review, data analysis, and experimental design. Biomni operates within a comprehensive environment that includes tools, APIs, and datasets, enabling it to execute multi-step research processes rather than just generating text responses. ...