Carl Barbee's repositories
Dinosaur_Island_Character_Lvl_Language_Model
Character Level RNN for generating dinosaur names.
Predicting_AGI
Predicting Average Adjusted Gross Income (AGI) per County in the USA with Linear Regression (Spark MLIB) using US Census data and IRS Tax Info.
ARM_Worker
The ARM Worker PIC for handling communication between the ARM and the rover
Humans_and_RL_in_Atari
In this project, we attempt to equip the agent with the recognition of basic components of an Atari game environment through curriculum learning—gleaned from human developmental psychology—and evaluate its performance. Our best agent was pre-trained on a carefully designed curriculum to learn to complete a new game 5x faster than regular agents. By analyzing our agent’s behavior, we can examine how it acquires knowledge and skills differently from humans.
bloomberg_job_desc
Bloomberg Workflow Discovery and Analytics job description
Building_a_Recurrent_Neural_Network_Step_by_Step
Designing a RNN
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
decision-tree-cart
Simple implementation of CART algorithm to train decision trees
Decision-Tree-from-Scratch
The purpose of this repository is to code a decision tree classifier from scratch using just numpy and pandas.
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
DS-GA-1003-SPRING-2020-PUBLIC
Machine Learning (DS-GA 1003)
EPIJudge
EPI Judge - Preview Release
fsdl-text-recognizer-project
Full Stack Deep Learning Bootcamp Project (Public)
introml
Python tutorials for introduction to machine learning
Jazz_Improvisation_with_LSTM
Generating a Jazz Music Sample with a LSTM
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
pTSAFall2018
DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pytorch-template
PyTorch deep learning projects made easy.
spinningup
An educational resource to help anyone learn deep reinforcement learning.
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
yolo
YOLO Implementation