Dmitrii Krasheninnikov's repositories
max-causal-ent-irl
Maximum Causal Entropy Inverse Reinforcement Learning
internalization
Code for the paper "Implicit meta-learning may lead language models to trust more reliable sources"
clarifyingqa
ClarifyingQA dataset from the paper "assistance with large language models"
dpll-qlearn
Using Q-learning to pick a splitting heuristic at each step of the DPLL SAT solver.
cats-vs-dogs
A solution to Kaggle Cats vs Dogs competition implemented in Theano and Lasagne.
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
gym-experiments
Implementing reinforcement learning algorithms in OpenAI gym environments. Python, Tensorflow, Keras, OpenAI gym
KaggleBikeSharing
Kaggle: Bike Sharing data science competition.
KaggleTitanic
Titanic competition from kaggle.com
KaggleWhatsCooking
Kaggle: What's Cooking? data science competition.
krasheninnikov.github.io
Build a Jekyll blog in minutes, without touching the command line.
mcdowell-cv
A Nice-looking CV template made into LaTeX:
ml-agents
Unity Machine Learning Agents Toolkit
OverconfidenceAnalysis
A simple R script to make an overconfidence plot from the table of predictions.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.