A parallel framework for population-based multi-agent reinforcement learning.

GnuRadio Frequency Domain Channelizer Module

Shared memory overlap-and-save method for NVIDIA GPUs using CUDA

a pytorch code about Residual Attention Network. This code is based on two projects from

A PyTorch implementation for Residual Attention Networks

Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"

synthetic Radio Frequency Spectrum snapshots Database for RFML

Network Slimming (Pytorch) (ICCV 2017)

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

[ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghurama…

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)

[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.

[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

Supplementary Python code for our Out-Of-Distribution paper

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Implementation of Deep evidential regression paper

This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Probabilistic Modeling Toolkit for Matlab/Octave.

Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.

👽 Out-of-Distribution Detection with PyTorch

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Principled Detection of Out-of-Distribution Examples in Neural Networks

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)