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The machine learning toolkit for time series analysis in Python
A terminal based Pokemon like game
Scalable and efficient data transformation framework - backwards compatible with dbt.
DuckDB-powered Postgres for high performance apps & analytics.
A self-hosted, database-less note taking web app that utilises a flat folder of markdown files for storage.
GeoAI: Artificial Intelligence for Geospatial Data
Visualize and compare datasets, target values and associations, with one line of code.
No description.
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
The Security Toolkit for LLM Interactions
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
OneTrainer is a one-stop solution for all your Diffusion training needs.
AI agent microservice
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
The lxml XML toolkit for Python
:calendar: CLI calendar application
Console user interface library for Python (official repo)
An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.
Source code for Gramps Genealogical program
SABnzbd - The automated Usenet download tool
A framework for prompt tuning using Intent-based Prompt Calibration
Utilities for implementing a modified pre-order traversal tree in django.
Automatically mock your HTTP interactions to simplify and speed up testing
Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
https://django-storages.readthedocs.io/
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/