Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.
GitHub repository with 59 stars and 6 forks.
Language: Julia
Topics: deep-learning, deep-equilibrium-models, julia, machine-learning, neural-networks, nonlinear-equations, implicit-deep-learning, nonlinear-solve
2026-06-05: 59 stars and 6 forks.
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Trending score: 0.26; stars gained: +0; forks gained: +0.
Language: Julia
Topics: deep-learning, machine-learning, neural-networks, gpu, scientific-machine-learning, tpu
Configuration files for claude code
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Language: Julia
🌎 A framework for simulating the Earth system at all scales with prescribed or prognostic atmosphere, ocean, sea ice and land components
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Language: Julia
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A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.
GitHub repository with 671 stars and 142 forks.
Trending score: 0.27; stars gained: +0; forks gained: +0.
Language: Julia
Topics: tensors, tensor-decomposition, tensor-networks, dmrg, matrix-product-states, physics
Elegant and Performant Deep Learning
GitHub repository with 706 stars and 84 forks.
Trending score: 0.26; stars gained: +0; forks gained: +0.
Language: Julia
Topics: deep-learning, machine-learning, neural-networks, gpu, scientific-machine-learning, tpu
Differentiating optimization programs w.r.t. program parameters
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Trending score: 0.22; stars gained: +0; forks gained: +0.
Language: Julia
Topics: julia, optimization, differentiable-programming, mathematical-modelling
Learn it. Build it. Ship it for others.
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Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
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Language: Python
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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Language: Python
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Ultralytics YOLO 🚀
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Language: Python
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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Topics: ai-framework, deep-learning, hardware-acceleration, machine-learning, neural-networks, onnx