Lightweight library to build and train neural networks in Theano
- deep-learning-library
- neural-networks
- python
- theano
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Lightweight library to build and train neural networks in Theano
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
Seamless long-form MiniMax H3 video generation for ComfyUI with native AV latent continuity, chunked sampling, session resume, and Spectrum/Sage/Sol compatibility.
PhysAg3D: Bridging 3D Generative and Agentic Models for High-Fidelity and Physically-Interactive Assets
Nickel extracts date, time, and message information from naturally worded text.