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Caltech
- Amsterdam
- @RealJoshAlbert
- in/joshua-g-albert-66734638
Stars
A collection of formalized statements of conjectures in Lean.
A ultra-high precision package for simulating radio interferometers in python on compute clusters.
S2FFT: Differentiable and accelerated spherical transforms
Creates empty measurement sets using the the CASA simulate tool.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory
Training and serving large-scale neural networks with auto parallelization.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Turn SymPy expressions into trainable JAX expressions.
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
High-Performance Symbolic Regression in Python and Julia
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more