217 Open source projects that are alternatives of or similar to robustness-vit

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Unofficial JAX implementations of deep learning research papers

Chef Transformer 🍲 .

Transformer/Transformer-XL/R-Transformer examples and explanations

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Flexible components pairing 🤗 Transformers with Pytorch Lightning

Label data using HuggingFace's transformers and automatically get a prediction service

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

Compare neural networks by their feature similarity

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

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

Conversational text Analysis using various NLP techniques

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Variants of Vision Transformer and its downstream tasks

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

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This repository contains demos I made with the Transformers library by HuggingFace.

Implementation of the Remixer Block from the Remixer paper, in Pytorch

Universal 1d/2d data containers with Transformers functionality for data analysis.

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

A didactic Gaussian process package for researchers in Jax.

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

An NLP-suite powered by deep learning

Repository for Machine Learning utils at the Wellcome Trust

A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks

Code for NeurIPS 2019 Paper

Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

PIX is an image processing library in JAX, for JAX.

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

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

Is a geometric model required to synthesize novel views from a single image?

Multimodal Image Synthesis and Editing: A Survey

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

A Python library for machine-learning and feedback loops on streaming data

Abstractive and Extractive Text summarization using Transformers.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Anonymization of legal cases (Fr) based on Flair embeddings

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

No description or website provided.

Pytorch Implementation of GoEmotions 😍😢😱

Predict materials properties using only the composition information!

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

NMA deep learning course

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

Factor graphs and nonlinear optimization for JAX

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Reachability analysis for closed-loop control systems

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

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

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

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

Code used during my Chaos Engineering and Resiliency Patterns talk.

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

A Closer Look at Accuracy vs. Robustness