mpicci Goto Github PK

advent-of-code-2017

My programming puzzles challenge

adventofcode2017

My solutions to Advent of Code 2017

adversarialnetspapers

The classical papers and codes about generative adversarial nets

another_example

began-pytorch

in progress

blocks

A Theano framework for building and training neural networks

clipbert

[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

clmtrackr

Javascript library for precise tracking of facial features via Constrained Local Models

competitive-programming

my foray into the world of competitive programming

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

digits

Deep Learning GPU Training System

envmaptool

fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

jekyll-example

example of website with jekyll

llama2.c

Inference Llama 2 in one file of pure C

ml-data-generator

Python script to generate fake datasets optimized for testing machine learning/deep learning workflows

mpicci.github.io

My GitHub pages deploy

mpicci.github.io_sources

My GitHub pages

pandoc-letter

Pandoc template for writing letters in markdown

plotneuralnet

Latex code for making neural networks diagrams

prelude

Prelude is an enhanced Emacs 25.1+ distribution that should make your experience with Emacs both more pleasant and more powerful.

prml

PRML algorithms implemented in Python

project-pages

Fork this repo for a quick start. If "Project Timeline" or "License" appeared on your nav bar, Look Below!

pyquantlib

A library of all the functions i most frequently use

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

quant-workspace

Quant Trading / Analysis: Materials from PyQuant + Experimental / Exploratory Model Development / Backtesting

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stat212b

Topics Course on Deep Learning UC Berkeley