Low-code framework for building custom LLMs, neural networks, and other AI models
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Nov 9, 2026 - Python
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Low-code framework for building custom LLMs, neural networks, and other AI models
learning data-science machine-learning natural-language-processing computer-vision deep-learning neural-network natural-language ml deep pytorch machinelearning llama deeplearning mistral fine-tuning data-centric llm llm-training llama2
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
A deep learning model for style-specific music generation.
Graph deep learning library for materials
JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.
javascript learning real-time web video augmented-reality network webrtc vr ar deep object-detection object-tracking neural object-recognition arkit arcore webxr
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
python agent learning data-science machine-learning reinforcement-learning deep-learning neural-network examples optimization machine-learning-algorithms deep-reinforcement-learning q-learning deep tutorials tutorial-code tutorial-exercises multiagent-reinforcement-learning
Action recognition using soft attention based deep recurrent neural networks
deep-neural-networks video deep-learning paper deep deeplearning attention-mechanism action-recognition soft-attention
💡 Adversarial attacks on explanations and how to defend them
security model evaluation deep adversarial defense attacks interpretability robustness adversarial-machine-learning adversarial-examples counterfactual adversarial-attacks explainable-ai xai interpretable interpretable-machine-learning iml explainability responsible-ai
Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!
Use property paths (`a.b.c`) get a nested value from an object.
nodejs javascript node paths object deep value key lodash get nested dot-notation dot-prop jonschlinkert object-path deep-property get-deep
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
High-performance immutable data structures for modern JavaScript and TypeScript applications. Functional interfaces, deep/composite operations API, mixed mutability API, TypeScript definitions, ES2015 module exports.
javascript map set list typescript immutable dictionary deep nested-structures javascript-library batching data-structures immutablejs typescript-definitions red-black-tree es2015-modules hash-array-mapped-trie sorted-set sorted-map
Reinforcement learning with tensorflow 2 keras
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