rakovpublic/jneopallium
Tool for neuron net building.
GitHub repository with 7 stars and 1 forks.
Language: Java
Topics: neural-networks
Tool for neuron net building.
GitHub repository with 7 stars and 1 forks.
Language: Java
Topics: neural-networks
2026-06-15: 7 stars and 1 forks.
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
GitHub repository with 25,049 stars and 2,364 forks.
Trending score: 4.94; stars gained: +514; forks gained: +54.
Language: Java
Topics: a11y, accessibility, ai, bounding-box, document-parsing, eaa
Dex to Java decompiler
GitHub repository with 49,065 stars and 5,547 forks.
Trending score: 3.93; stars gained: +205; forks gained: +13.
Language: Java
Ghidra is a software reverse engineering (SRE) framework
GitHub repository with 69,674 stars and 7,648 forks.
Trending score: 3.84; stars gained: +105; forks gained: +11.
Language: Java
Topics: disassembler, reverse-engineering, software-analysis
AgentScope Java: Agent-Oriented Programming for Building LLM Applications
GitHub repository with 3,826 stars and 819 forks.
Trending score: 3.82; stars gained: +104; forks gained: +22.
Language: Java
Topics: agent, agentic, agentic-ai, ai, llm
Agentic AI Framework for Java Developers
GitHub repository with 10,014 stars and 2,232 forks.
Trending score: 3.45; stars gained: +80; forks gained: +23.
Language: Java
Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker deployment.
GitHub repository with 2,440 stars and 32 forks.
Trending score: 3.42; stars gained: +86; forks gained: +6.
Language: Java
Topics: binary-analysis, ghidra, java, mcp, model-context-protocol, python
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
GitHub repository with 20,827 stars and 3,992 forks.
Trending score: 2.46; stars gained: +9; forks gained: +10.
Language: C++
Topics: ai-framework, deep-learning, hardware-acceleration, machine-learning, neural-networks, onnx
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
GitHub repository with 2,953 stars and 262 forks.
Trending score: 1.52; stars gained: +5; forks gained: +1.
Language: Rust
Topics: artificial-intelligence, neural-networks, onnx, rust, rust-library, tensorflow
Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."
GitHub repository with 231 stars and 39 forks.
Trending score: 1.23; stars gained: +4; forks gained: +2.
Language: Jupyter Notebook
Topics: gpt, neural-networks, nn-zero-to-hero, deep-learning, nlp, pytorch
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
GitHub repository with 679 stars and 156 forks.
Trending score: 0.99; stars gained: +3; forks gained: +0.
Language: Python
Topics: deep-learning, neural-networks, computer-vision, datasets, format-converter, dataset
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
GitHub repository with 2,904 stars and 201 forks.
Trending score: 0.96; stars gained: +1; forks gained: +0.
Language: Python
Topics: deep-learning, jax, neural-networks, equinox
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
GitHub repository with 667 stars and 238 forks.
Trending score: 0.80; stars gained: +2; forks gained: +0.
Language: Python
Topics: quantum-machine-learning, qml, demo, tutorials, key-concepts, quantum-computing