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Understanding Deep Learning - Simon J.D. Prince
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Context Manager to profile the forward and backward times of PyTorch's nn.Module
Master thesis on predicting venous thromboembolic events in patients with cancer using machine learning methods.
DiffSharp: Differentiable Functional Programming
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Companion webpage to the book "Mathematics For Machine Learning"
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Practical assignments of the Deep|Bayes summer school 2019
Notebooks for learning about object motion and localization methods in the last section of CVND.
FlexFlow Serve: Low-Latency, High-Performance LLM Serving
The Tensor Algebra SuperOptimizer for Deep Learning
A simple probabilistic programming language.
A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
probprog / pyprob
Forked from pyprob/pyprobA probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
mlpack: a fast, header-only C++ machine learning library
TensorFlow API for F# + F# for AI Models eDSL
Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
Gaussian processes with uncertain input, applied to wireless channel learning and prediction
Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning