aramdov
/n Interests: Machine Learning, Computing Systems, Neuroscience, Philosophy, VR/AR, LLMs, Prompt Engineering
California
aramdov's Stars
ucsb-cs8/ucsb-cs8.github.io
microsoft/malmo-challenge
Task and example code for the Malmo Collaborative AI Challenge
microsoft/malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
levondov/1d-and-2d-Ising-Model
Made using a Markov chain Monte Carlo with the Metropolos algorithm
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
Amir-Arsalan/Synthesize3DviaDepthOrSil
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
otem/Raspberry-Pi-Looper-synth-drum-thing
My first venture into raspberry pi stuff. Running a custom pure data patch I've been working on for a couple years on a Raspberry Pi 3. This project took a couple months and I'm still tweaking stuff here and there but it's pretty much complete, it even survived it's first live show!
TedTinker/LinearRegressions
In PSTAT 126, we use R-Studio to analyze and interpret datasets. Here, see my code and its output on some very interesting problems, plus some pure statistical maths.
ForrestKnight/open-source-cs
Video discussing this curriculum:
MartinSpindler/Machine-Learning-in-Econometrics
Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
mca91/EconometricsWithR
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)