Pinned Repositories
awesome-compneuro
A curated list of resources dedicated to Computational Neuroscience
EB1A
EB1A Full Application - I-140 and I-485
nips2016
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
pandas-cookbook
Recipes for using Python's pandas library
Practical_RL
A course in reinforcement learning in the wild
rDBwrappers
R wrapper-functions for hive/psql
stat-cookbook
The probability and statistics cookbook
UWBeamerPosterTemplate
BeamerPoster Template using UW colors and logo
vae
Variational Autoencoder / Deep Latent Gaussian Model demo & tutorial
satpreetsingh's Repositories
satpreetsingh/EB1A
EB1A Full Application - I-140 and I-485
satpreetsingh/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
satpreetsingh/appliedgenomics2022
Materials for EN.601.449/EN.601.649 Computational Genomics: Applied Comparative Genomics
satpreetsingh/bioicons
A library of free open source icons for science illustrations in biology and chemistry
satpreetsingh/cs21data
satpreetsingh/gpt-google
satpreetsingh/gymnax
RL Environments in JAX 🌍
satpreetsingh/how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
satpreetsingh/jax-rl
Jax (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
satpreetsingh/JaxMARL
Multi-Agent Reinforcement Learning with JAX
satpreetsingh/lab-website-template
An easy-to-use, flexible website template for labs!
satpreetsingh/minimal-isaac-gym
A Minimal Example of Isaac Gym with DQN and PPO.
satpreetsingh/mining2021
Code to accompany: https://arxiv.org/abs/2001.08349
satpreetsingh/Multi-Agent-Reinforcement-Learning-papers
Multi-Agent Reinforcement Learning (MARL) papers
satpreetsingh/muSim
Soft Actor Critic for training musculoskeletal models
satpreetsingh/natbot
Drive a browser with GPT-3
satpreetsingh/paper-qa
LLM Chain for answering questions from documents with citations
satpreetsingh/paul-graham-gpt
OpenAI-powered search & chat on all of Paul Graham’s essays.
satpreetsingh/phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
satpreetsingh/purejaxrl
Really Fast End-to-End Jax RL Implementations
satpreetsingh/python-package-template
🎈 A Python package template using pyproject.toml, hatch, pre-commit, black, ruff, and mkdocs.
satpreetsingh/RACER
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
satpreetsingh/satpreetsingh
Config files for my GitHub profile.
satpreetsingh/satpreetsingh.github.io
Homepage
satpreetsingh/ssm
Bayesian learning and inference for state space models
satpreetsingh/vae_mdp
Implementation of Variational Markov Decision Processes, a framework allowing to (i) distill policies learned through (deep) reinforcement learning and (ii) learn discrete abstractions of continuous environments, the two with bisimulation guarantees.
satpreetsingh/vercel-examples
Enjoy our curated collection of examples and solutions. Use these patterns to build your own robust and scalable applications.
satpreetsingh/video-summary-streamer
Application to take in video urls and stream either transcripts or tokens.
satpreetsingh/website
satpreetsingh/youtube-summary-chrome