Michael Carilli's repositories

mixed_precision_references

Personal collection of references for high performance mixed precision training.

FlameGraph

Stack trace visualizer

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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.

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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.

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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.

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cuda-memory

Playing around with GPU memory optimization

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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tutorials

PyTorch tutorials.

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vision

Datasets, Transforms and Models specific to Computer Vision

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apex

A PyTorch Extension

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arrayfire

ArrayFire: a general purpose GPU library.

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CarND-Traffic-Sign-Classifier-P2-Solution

Udacity self-driving car nanodegree Project 2: neural network to classify German street signs, implemented in Tensorflow.

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CarND-Unscented-Kalman-Filter

Udacity self-driving car nanodegree Term 2 Project 2: Unscented Kalman Filter in C++.

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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.

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cpython

The Python programming language

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ethminer

Ethereum miner with OpenCL, CUDA and stratum support

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go-ethereum

Official Go implementation of the Ethereum protocol

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GTC-2017

GPU Technology Conference 2017 talk

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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.

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openethereum

The fast, light, and robust client for the Ethereum mainnet.

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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.

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pytorch_sandbox

stuff that should never see the light of day

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sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

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stark-anatomy

Tutorial for STARKs with supporting code in python

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tensoriterator

Standalone C++ tensoriterator copy-pasted from pytorch

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zprize-GPU-MSM-harness

Reference GPU test harness for the "Accelerating MSM on GPU" challenge of ZPrize

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