jraman Goto Github PK

ai-crash-course

AI-Crash-Course, published by Packt

akka-concurrency

For the book "Akka Concurrency"

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

algos

Algorithms

ascii-art

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bigdata19-tutorial

brylevkirill-notes

Resources to learn more about Machine Learning and Artificial Intelligence

caffe

Caffe: a fast open framework for deep learning.

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

concurrency-in-scala

coursera-rlglue

Copy of andnp/coursera-rl-glue.git

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

demos-cs357

Numerical Methods I, CS 357, Univ. of Illinois

effective_akka

Source code from my Effective Akka work

escreen

Noah Friedman's escreen.el

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

flask-webcast

Code from my O'Reilly webcast "Python Web Development with Flask"

ghpages

Github Project Pages

gpupetuum

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

homebrew

The missing package manager for OS X.

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

jraman.github.io

jsonschema

An(other) implementation of JSON Schema (Draft 3) for Python

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

latex-tutorial-report-writing

LaTeX tutorial for report writing

lucent

Lucid library adapted for PyTorch