Source-to-Source Debuggable Derivatives in Pure Python
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Sep 29, 2022 - Python
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autodiff
Here are 79 public repositories matching this topic...
End-to-end Generative Optimization for AI Agents
python machine-learning ai optimization end-to-end optimizer agents autodiff large-language-models llm prompt-optimization agentic-agi agentic-workflow compound-systems generative-optimization
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Jun 17, 2026 - Python
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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Jan 21, 2026 - Python
AutoBound automatically computes upper and lower bounds on functions.
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Oct 24, 2025 - Python
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
machine-learning reinforcement-learning deep-learning automatic-differentiation pytorch artificial-intelligence hyperparameter-optimization bilevel-optimization autodiff neural-architecture-search meta-learning implicit-differentiation multilevel-optimization
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Jun 26, 2024 - Python
Nabla: High-Performance Scientific Computing
python machine-learning mojo amd pytorch autograd nvidia scientific-computing tensor autodiff gpu-programming jax apple-silicon
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Mar 6, 2026 - Python
Drop-in autodiff for NumPy.
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Feb 27, 2026 - Python
A JIT compiler for hybrid quantum programs in PennyLane
python quantum llvm automatic-differentiation jit quantum-computing autodiff quantum-compiler jax mlir pennylane qir
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Jun 29, 2026 - Python
A minimalist deep learning library written from scratch in Python
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Jan 19, 2026 - Python
Geometry processing utilities compatible with jax for autodifferentiation.
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Oct 18, 2023 - Python
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
machine-learning deep-learning neural-network automatic-differentiation autograd generative-adversarial-network gan mnist autoencoder vae convolutional-neural-network auto-differentiation variational-autoencoder autodiff numpy-neural-network auto-diff numpy-model
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Feb 28, 2026 - Python
Differentiable Physical Optics Propagation in Jax
python gpu optics modelling telescope optical optimisation diffraction autodiff jax optics-simulation dlux
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Jun 4, 2026 - Python
JAX-DIPS is a differentiable interfacial PDE solver.
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Sep 14, 2024 - Python
A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.
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Feb 7, 2022 - Python
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
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Sep 12, 2021 - Python
Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)
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Mar 2, 2024 - Python
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