📦 AI Repositories Browser

Generate x86 Assembly with Go

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

日本語LLMまとめ - Overview of Japanese LLMs

A compilation of the best multi-agent papers

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Open-source Rust framework for building event-driven live-trading & backtesting systems

Open-source Rust framework for building event-driven live-trading & backtesting systems. Migrated to https://github.com/barter-rs/barter-rs

Code repository for the article "Bayesian Deep Learning on a Quantum Computer"

Core functionality of the BESOS platform (besos.uvic.ca), including building energy simulation via EnergyPlus, optimization via Platypus and surrogate-modelling via scikit-learn.

Behaviour Extraction for Time-Series Investigation using deep learning

An open-source computer vision framework for wildlife image analysis, featuring state-of-the-art models for species classification and detection.

Next-gen compile-time-checked builder generator, named function's arguments, and more!

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

BuildStream is a flexible and extensible framework for the modelling of build pipelines in a declarative YAML format, written in python.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

The main database of the French National Health Data System (SNDS) contains data from Health Insurance reimbursements, hospital treatment and medical causes of death. In order to characterise its use for health research and innovation, an interactive cartography has been produced to understand the framework of its use and to identify the stakeholders of the SNDS ecosystem. A bibliographic search via PubMed (available here), LiSSa, HAL was conducted to identify scientific articles published starting January 2007 on studies using SNDS data. The list of authors, their affiliations, keywords, the number of citations and much more were collected. A descriptive analysis was carried out in order to assess temporal and geographical trends in the use of SNDS main database. The graphs where generated with networkx, a python package used for the creation manipulation and study of complex networks. To generate the Author/Affiliations graphs we first create the adjacency matrix between the Authors/Affiliations and the article PMIDs. We then use the networkx.Graph class to create the needed undirected graphs, using the adjacency matrices as the data to intialize the graphs.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

https://chillcoding.com/

Open-source search and retrieval database for AI applications.

Chronos: Pretrained Models for Time Series Forecasting

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.

Codequality jobs in pipelines https://docs.gitlab.com/ee/user/project/merge_requests/code_quality.html