Michael Carilli's repositories
mixed_precision_references
Personal collection of references for high performance mixed precision training.
FlameGraph
Stack trace visualizer
CarND-Advanced-Lane-Lines-P4-Solution
Udacity self-driving car nanodegree Project 4: undistorting images, applying perspective transforms, and using color and gradient filters to find highway lane lines under varying lighting and road surface conditions.
CarND-Behavioral-Cloning-P3-Solution
Udacity self-driving car nanodegree Project 3: neural network that drives a simulated car around a track autonomously. The network is implemented in Keras, and trained on recorded behavior of a human driver.
CarND-Extended-Kalman-Filter
Udacity self-driving car nanodegree Term 2 Project 1: Extended Kalman Filter in C++.
CarND-LaneLines-P1-Solution
Udacity self-driving car nanodegree project 1: finding lane lines with Canny edge detection and Hough transforms.
cuda-memory
Playing around with GPU memory optimization
CarND-Traffic-Sign-Classifier-P2-Solution
Udacity self-driving car nanodegree Project 2: neural network to classify German street signs, implemented in Tensorflow.
CarND-Unscented-Kalman-Filter
Udacity self-driving car nanodegree Term 2 Project 2: Unscented Kalman Filter in C++.
CarND-Vehicle-Detection-P5-Solution
Udacity self-driving car nanodegree Project 5: training a support vector machine to identify and track cars in highway footage.
go-ethereum
Official Go implementation of the Ethereum protocol
lambdaworks_cairo_prover
STARK Cairo prover using lambdaworks. Cairo (CPU Algebraic Intermediate Representation) is a programming language for writing provable programs, where one party can prove to another that a certain computation was executed correctly. Cairo and similar proof systems can be used to provide scalability to blockchains.
openethereum
The fast, light, and robust client for the Ethereum mainnet.
pytorch-pretrained-BERT
đź“–The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
pytorch_sandbox
stuff that should never see the light of day
relocatable-constant-extern
minimal example
sentiment-discovery
Unsupervised Language Modeling at scale for robust sentiment classification
stark-anatomy
Tutorial for STARKs with supporting code in python
tensoriterator
Standalone C++ tensoriterator copy-pasted from pytorch
zprize-GPU-MSM-harness
Reference GPU test harness for the "Accelerating MSM on GPU" challenge of ZPrize