Cs Libraries

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Cs Libraries

Emacs client/library for the Language Server Protocol

Contributions are very much welcome!

Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.

Python.NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers. I…

A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.

Setting up Serge is very easy. Starting it up can be done in a single command: Make sure you have docker desktop installed, WSL2 configured and enough free RAM to run models. (see below) Currently th…

An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.

Our core developers have been building time-series data platforms for years. Based on our best-practices, GreptimeDB is born to give you: Seamless scalability from a standalone binary at edge to a ro…

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

You can also perform direct policy learning from observational data, using the doubly robust method for offline policy learning. These methods directly predict a recommended treatment, without intern…

DevSecOps, ASPM, Vulnerability Management. All on one platform.

DefectDojo is maintained by: Core Moderators can help you with pull requests or feedback on dev ideas: Moderators can help you with pull requests or feedback on dev ideas:

Code for A Programmer's Introduction to Mathematics

To install the requirements and run the examples, using pip and virtualenv (Python's standard packaging tools): To run the test suite: To build and run the code in the repository with docker, run

Bittorrent software for cats

pyenv eases the use of different Python versions, and as not all Linux distros offer 3.7 packages, it's right up our alley.

Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.

Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki. Features: Upcoming: Then run this and enter a password to cre…

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

xLearn is developed by high-performance C++ code with careful design and optimizations. Our system is designed to maximize CPU and memory utilization, provide cache-aware computation, and support loc…

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

You can start with this article that I wrote in Heartbeat magazine (on Medium platform): Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, …

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: The key features of Lance include: Download the sift1m subset Convert it to Lance Build …

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

There are eight subjects in the curriculum, organized into four subject areas. See the "Machine Learning House" section below for detail on why these are the essential foundational subject areas: Lat…

Django application and library for importing and exporting data with admin integration.

django-import-export is a Django application and library for importing and exporting data from a variety of formats. Includes Django Admin site integration.

Data Science Roadmap from A to Z

Pandas

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

Ethereum ETL lets you convert blockchain data into convenient formats like CSVs and relational databases. Install Ethereum ETL: For the latest version, check out the repo and call Build a docker imag…

Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.

Not shown: management view, session view, full service view. (You'll need to install Shynet for yourself to see those!) Here's the information Shynet can give you about your visitors: Shynet isn't f…

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Carefully curated resource links for data science in one place

A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3

Log images, point clouds, etc, and visualize them effortlessly. Built in Rust using egui

Use one of our logging APIs (Python or Rust) to log rich data, such as images and point clouds, to the Rerun Viewer, where it is visualized live or after the fact. Some shortcomings: Rerun uses an op…

oletools - python tools to analyze MS OLE2 files (Structured Storage, Compound File Binary Format) and MS Office documents, for malware analysis, forensics and debugging.

Note: python-oletools is not related to OLETools published by BeCubed Software. This is a personal open-source project, developed on my spare time. Any contribution, suggestion, feedback or bug repor…

Represent, send, store and search multimodal data

To install DocArray from the CLI, run the following command: New to DocArray? Depending on your use case and background, there are multiple ways to learn about DocArray: This is particularly benefici…

🪢 Open source LLM engineering platform. Observability, metrics, evals, prompt management, testing -- 🍊YC W23 🤖 integrate via Typescript, Python, OpenAI, Langchain, LlamaIndex, Litellm

Managed deployment by the Langfuse team, generous free-tier (hobby plan), no credit card required. You may want to use another integration to get started quickly or implement a use case that we do no…

BleachBit system cleaner for Windows and Linux

BleachBit cleans files to free disk space and to maintain privacy. To run BleachBit without installation, unpack the tarball and then run these commands: Then, review the preferences. Then, select so…

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Then, define the BigDL model using Keras-style API:

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: From here, you can quickly log a dataset: And there you have it, you now…

Better GitHub statistics images for your profile, with stats from private repos too

Generate visualizations of GitHub user and repository statistics with GitHub Actions. Visualizations can include data for both private repositories, and for repositories you have contributed to, but …

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

The ROOT system provides a set of modules with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specializ…

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