AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Fu…

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

A method for training neural networks that are provably robust to adversarial attacks.

Fast and Easy Infinite Neural Networks in Python

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

LEAP is a novel tool for discovering latent temporal causal relations.

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility

A PyTorch Library for Meta-learning Research

A repo for organized code that goes with the BuildSys paper

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. T…

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

The X-Plane Communications Toolbox is a research tool used to interact with the X-Plane flight simulator

Enforcing robust control guarantees within neural network policies

A fast and differentiable model predictive control (MPC) solver for PyTorch.

Differentiable convex optimization layers

A precocial reinforcement learning solution for HVAC control