Name: Ryan Spring
Type: User
Company: Rice University; @RUSH-LAB ; @Nvidia
Bio: A PhD graduate researching Machine Learning, Locality-Sensitive Hashing, and Deep Learning Compilers.
Twitter: ryanspring13
Location: Santa Clara
Blog: https://www.linkedin.com/in/rdspring1
Ryan Spring's Projects
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Code for "Unsupervised State Representation Learning in Atari"
An experimental open-source attempt to make GPT-4 fully autonomous.
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
http://www.cs.utexas.edu/~fussell/courses/cs378/projects/assignment1/handout.shtml
Efficient GPU kernels for block-sparse matrix multiplication and convolution
This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.
Starting files for the Udacity CarND Behavioral Cloning Project
Lane Finding Project for Self-Driving Car ND
Classify Traffic Signs.
Vehicle Detection Project
Motion planning for a steerable needle under action uncertainty
Use dynamic constraints to sample plausible states for RRT algorithm, improving robot motion planning
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
Solutions to Stanford CS231n Spring 2018 Course Assignments.
Introduction to Parallel Programming class code
http://www.cs.utexas.edu/users/downing/cs378/drupal/collatz
http://www.cs.utexas.edu/users/downing/cs378/drupal/deque
http://www.cs.utexas.edu/users/downing/cs378/drupal/graph
http://www.cs.utexas.edu/users/downing/cs378/drupal/integer
http://www.cs.utexas.edu/users/downing/cs378/drupal/pfd
CS380L Assignment 4
Assignment 4: Partial Redundancy Elimination. http://www.cs.utexas.edu/~pingali/CS380C/2013/assignments/assignment4.tar.gz