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Amazon Web Services
- Palo Alto, CA
- https://www.linkedin.com/in/hao-jin-67b126a6/
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Splinator: probabilistic calibration with regression splines
A parser, editor and profiler tool for ONNX models.
Profiling and inspecting memory in pytorch
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
An Engine-Agnostic Deep Learning Framework in Java
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Turi Create simplifies the development of custom machine learning models.
The fundamental package for scientific computing with Python.
Probabilistic time series modeling in Python
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
A Python module for Machine Learning designed to make machine learning research easy.