204 Open source projects that are alternatives of or similar to Generalization-Causality

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Torch Implemention of ECCV'16 paper: Attribute2Image

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

The SimNets Architecture's Implementation in Caffe

Reachability analysis for closed-loop control systems

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

Building Virtual Reality Worlds using Three.js

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Machine learning based causal inference/uplift in Python

Variants of Vision Transformer and its downstream tasks

A basic and simple tool for code auto completion

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

An Algorithm to Quantify Robustness of Recurrent Neural Networks

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Library for graphical models of decision making, based on pgmpy and networkx

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893

Listing my favorite research papers 📝 from different fields as I read them.

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Tensorflow-based framework to ease training of generative models

📱 screen auto adaptation solution.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Improving MMD-GAN training with repulsive loss function

My pytorch implementation for GAN

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

No description or website provided.

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Code used during my Chaos Engineering and Resiliency Patterns talk.

阿里云MNS

Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

This repository is not maintained anymore. If I have any significant contributions, I usually do a PR for the Faust libraries. This repository contains the Faust libraries for sound and information processing that I use to implement my music complex adaptive systems.

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

Official repository for the ShapeFormer Project

Conditional out-of-distribution prediction

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

A curated (most recent) list of resources for Learning with Noisy Labels

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Code for NeurIPS 2019 Paper

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.