Code for BLT research paper

ICLR2023 statistics

This repo includes ChatGPT promt curation to use ChatGPT better.

A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, accompanying The 'Problem' of Human Label Variation: On Grou…

Awesome papers on Language-Model-as-a-Service (LMaaS)

Adaptive Experimentation Platform

Machine learning metrics for distributed, scalable PyTorch applications.

StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)

Long Range Arena for Benchmarking Efficient Transformers

How to use our public wav2vec2 dimensional emotion model

Official PyTorch implementation of Long-Short Transformer (NeurIPS 2021).

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

This is the official code for paper "Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation" published in ICASSP 2022

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Code and data for the framework in "Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs", TACL 2021.

Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

This repository contains implementations and illustrative code to accompany DeepMind publications

Code to support characterizing sources of uncertainty to proxy calibration and disambiguate annotator and data bias.

No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)

Pytorch implementation for Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition

Code for Robust Contrastive Learning against Noisy Views