A repo for Causal Imitation Learning under Temporally Correlated Noise.
To re-train an expert, run:
python experts/train_expert.py -e {lunarlander, halfcheetah, ant}
To train a learner, run:
jupyter notebook
and open up LunarLander.ipynb and PyBullet.ipynb. This package supports training via Behavioral Cloning, DoubIL, and ResiduIL.
Run:
jupyter notebook
and open up vis.ipynb.
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
quantized-network download .pth files to qmodels/: googlenet : https://download.
MVSNeRF Project page | Paper This repository contains a pytorch lightning implementation for the ICCV 2021 paper: MVSNeRF: Fast Generalizable Radiance
LibAUC An end-to-end machine learning library for AUC optimization. Why LibAUC? Deep AUC Maximization (DAM) is a paradigm for learning a deep neural n
Flow-to-depth (FDNet) video-depth-estimation This is the implementation of paper Video Depth Estimation by Fusing Flow-to-Depth Proposals Jiaxin Xie,
Distributed PyTorch Lightning Training on Ray This library adds new PyTorch Lightning accelerators for distributed training using the Ray distributed
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees This repository is the official implementation of the empirica
Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and ap
The `rtdl` library + The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data"
Transformers have accelerated the development of new techniques and models for natural language processing (NLP) tasks.
Ancient Greek BERT The first and only available Ancient Greek sub-word BERT model! State-of-the-art post fine-tuning on Part-of-Speech Tagging and Mor
UnrealPerson: An Adaptive Pipeline for Costless Person Re-identification In our paper (arxiv), we propose a novel pipeline, UnrealPerson, that decreas
Improving Object Detection by Estimating Bounding Box Quality Accurately Abstract Object detection aims to locate and classify object instances in ima
THOR: Transformer with Stochastic Experts This PyTorch package implements Taming Sparsely Activated Transformer with Stochastic Experts. Installation
Detection_of_PCBA_defect Detection_of_PCBA_defect Use yolov5 to train. $pip install -r requirements.txt Detect.py will detect file(jpg,mp4...) in cu
MiSTer Downloader This tool installs and updates all the cores and other extra files for your MiSTer. It also updates the menu core, the MiSTer firmwa
The official implementation of the paper: Language as Queries for Referring Vide
Benchmarks for Object Detection in Aerial Images
WaveGrad Implementation (PyTorch) of Google Brain's high-fidelity WaveGrad vocoder (paper). First implementation on GitHub with high-quality generatio
personalized-breath Repo for the ACMMM20 submission: "Personalized breath based biometric authentication with wearable multimodality". Guideline To ex
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