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pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

qdrant

Qdrant - vector similarity search engine with extended filtering support

quadrable

Authenticated multi-version database: sparse binary merkle tree with compact partial-tree proofs

quantum

Tensor-Based Quantum Machine Learning

quickselection

Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

r2l

ratl

code for RATL

rci-agent

A codebase for "Language Models can Solve Computer Tasks"

rcil

[CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation

realfakenews

Generate realistic news videos solely by providing your transcript. We summarize your news and generate a video of a speaker announcing your news.

realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

recnn_visual_prosthesis

Rotation-equivariant convolutional neural network for design of visual prosthetic stimulation protocol

reinforcement-learning-in-finance

Materials for blogs and conferences

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

relative3d

Code release for "3D-RelNet: Joint Object and Relation Network for 3D prediction"

repvgg

RepVGG: Making VGG-style ConvNets Great Again

researchtools

Use these easy-to-use scripts to accerate your research.

restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

revnet-public

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

riskparity.py

Fast and scalable design of risk parity portfolios

river

🌊 Online machine learning in Python

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl-toolkit

RL-Toolkit: A Research Framework for Robotics

robo-vln

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

robot_selfsound

Lab rotation project attempting to predict and subtract ego-noise using neural networks.

robust-log-optimal-strategy-with-reinforcement-learning

We propose a new Portfolio Management strategy combining Log-Optimal based Strategy and Reinforcement-Learning based Strategy.

root-finding-methods

Utilizing root-finding methods such as Bisection Method, Fixed-Point Method, Secant Method, and Newton's Method to solve for the roots of functions

rotatenetworks

The rep for the RotateNetworks in ICPR18, Beijing, China.

rotation-scale-invariant-cnn

Convolutional neural network (2D index) approximate invariant properties implicitly by max-pooling. Thus filters fail to generalize with drastic changes in scale and rotation. In this page, I show 2D convolution on "Frequency" & "Direction" is a natural way to think of scaling and rotation.

rotationaldynamics

Code for creating recurrent neural network with rotational dynamics. Model is discussed in detail in "Rotational Dynamics Reduce Interference Between Sensory and Memory Representations" by Libby and Buschman.