AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

Github: https://github.com/alibaba/AliceMind

Paper: https://arxiv.org/abs/2109.05687v1

Dataset: https://paperswithcode.com/dataset/glue

👉 @bigdata_1

OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet.

175B GPT-3

Github: https://github.com/facebookresearch/metaseq

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01068v2

Dataset: https://paperswithcode.com/dataset/superglue

👉 @bigdata_1

DensePhrases is an extractive phrase search tool based on your natural language inputs

Github: https://github.com/princeton-nlp/DensePhrases

Paper: https://arxiv.org/abs/2109.08133v1

Dataset: https://paperswithcode.com/dataset/squad

👉 @bigdata_1

EmotionFlow: Capture the Dialogue Level Emotion Transitions

Code: https://github.com/fpcsong/emotionflow

Paper: https://arxiv.org/abs/2204.10298v1

Dataset: https://paperswithcode.com/dataset/meld

👉 @bigdata_1

AndroidEnv - The Android Learning Environment

Github: https://github.com/deepmind/android_env

Paper: https://arxiv.org/abs/2105.13231v1

👉 @bigdata_1

WildWood: a new Random Forest algorithm

Github: https://github.com/pyensemble/wildwood

Paper: https://arxiv.org/abs/2109.08010v1

Documentation: https://wildwood.readthedocs.io/

👉 @bigdata_1

Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Github: https://github.com/osainz59/Ask2Transformers

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01376v1

Dataset: https://paperswithcode.com/dataset/snli

👉 @bigdata_1

Simple Entity-Centric Questions Challenge Dense Retrievers

Github: https://github.com/princeton-nlp/entityquestions

Paper: https://arxiv.org/abs/2109.08535v1

Dataset: https://paperswithcode.com/dataset/natural-questions

👉 @bigdata_1

Textless NLP: Generating expressive speech from raw audio

Facebook Ai: https://ai.facebook.com/blog/textless-nlp-generating-expressive-speech-from-raw-audio/

Examples: https://speechbot.github.io/pgslm/

Code: https://github.com/pytorch/fairseq/tree/master/examples/textless_nlp/gslm

Paper: https://arxiv.org/abs/2102.01192

👉 @bigdata_1

Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning

Github: https://github.com/ethz-asl/Learn-to-Calibrate

Paper: https://arxiv.org/abs/2109.14974v1

👉 @bigdata_1

Dynamic Slimmable Network (DS-Net)

Github: https://github.com/M3DV/AlignShift

Paper: https://arxiv.org/abs/2109.10060v1

👉 @bigdata_1

EasyNLP is an easy-to-use NLP development and application toolkit in PyTorch

$ pip install pai-easynlp.

Github: https://github.com/alibaba/EasyNLP

Paper: https://arxiv.org/abs/2205.03071v1

Dataset: https://paperswithcode.com/dataset/natural-questions

Documentation: https://www.yuque.com/easyx/easynlp/kkhkai

👉 @bigdata_1

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing

Github: https://github.com/microsoft/ContextualSP

Paper: https://arxiv.org/abs/2109.10540v1

👉 @bigdata_1

DeepFilterNet

A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering.

Github: https://github.com/rikorose/deepfilternet

Paper: https://arxiv.org/abs/2205.05474v1

Demo: https://huggingface.co/spaces/hshr/DeepFilterNet2

👉 @bigdata_1

Hierarchical Memory Matching Network for Video Object Segmentation

Github: https://github.com/hongje/hmmn

Paper: https://arxiv.org/abs/2109.11404v1

Dataset: https://paperswithcode.com/dataset/davis-2016

👉 @bigdata_1

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

Github: https://github.com/explainableml/kg-sp

Paper: https://arxiv.org/abs/2205.06784v1

Dataset: https://paperswithcode.com/dataset/conceptnet

👉 @bigdata_1

Deep Social Force

Github: https://github.com/svenkreiss/socialforce

Paper: https://arxiv.org/abs/2109.12081v1

👉 @bigdata_1

OWL-ViT: Open-World Object Detection with Vision Transformers

OWL-ViT is an open-vocabulary object detector.

Github: https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit

Paper: https://arxiv.org/abs/2205.06230

Colab: https://colab.research.google.com/github/google-research/scenic/blob/main/scenic/projects/owl_vit/notebooks/OWL_ViT_minimal_example.ipynb

Dataset: https://paperswithcode.com/dataset/objects365

👉 @bigdata_1

TSM: Temporal Shift Module for Efficient Video Understanding

Github: https://github.com/MIT-HAN-LAB/temporal-shift-module

Paper: https://arxiv.org/abs/1811.08383

Demo: https://www.youtube.com/watch?v=0T6u7S_gq-4

👉 @bigdata_1

AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling

First VAE framework empowered with adaptive GPT-2s (AdaVAE).

Github: https://github.com/ImKeTT/adavae

Paper: https://arxiv.org/abs/2205.05862v1

Task: https://paperswithcode.com/task/representation-learning

👉 @bigdata_1