schroederdewitt Goto Github PK

accelagent.github.io

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alphalorenz

Unpolished working repository for tuning experiments. EnKF, RL, Online, ...

annotated-s4

Implementation of https://srush.github.io/annotated-s4

audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cakephp-full-calendar-plugin

Simple and Sleek Event Calendar Plugin for CakePHP

cam

Community Atmosphere Model

cesm

The Community Earth System Model

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

cule

CuLE: A CUDA port of the Atari Learning Environment (ALE)

datasciencecoursera

For my Coursera Courses

datasharing

The Leek group guide to data sharing

dcd

Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

deepgp

Deep Gaussian Processes in matlab

deepgpy

Deep GPs with GPy

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

distribution_augmentation

Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.

docker-postgis

Docker image for PostGIS

dqn-pytorch

DQN to play Atari Pong

dvrl

Deep Variational Reinforcement Learning

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

facmac

ffho-backend

ffho-backend

ffho-web-platform

football

Check out the new game server:

generativeagent_llm

Implementation of "Generative Agents: Interactive Simulacra of Human Behavior" paper with Guidance and Langchain. Full features and work with local LLMs.

ghost-theme-willow

Personal, responsive, minimalist and open-source theme for Ghost blogging platform.

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"