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Companion site for the textbook Quantum Computing: An Applied Approach
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Optical Transfer Learning
ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
An implementation of C++ Extensions for Ranges
AI & Deep Learning Enthusiasts Meetup Project & Study Sessions
Repo for the Deep Learning Nanodegree Foundations program.
Benchmarking Deep Learning operations on different hardware
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
A toolkit for making real world machine learning and data analysis applications in C++
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
🎓📄 The LaTeX file that I used as the base for all my homework in university.
Accelerating Eulerian Fluid Simulation With Convolutional Networks
This repo contains materials for use in a TensorFlow workshop.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Original Python version of Intel® Nervana™ Graph
Mercurium is a C/C++/Fortran source-to-source compilation infrastructure aimed at fast prototyping developed by the Programming Models group at the Barcelona Supercomputing Center
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
Nanos++ is a runtime designed to serve as runtime support in parallel environments. It is mainly used to support OmpSs, a extension to OpenMP developed at BSC.