reactivetype

simrod

Repo for the ICCV 2021 paper "SimROD: A Simple Adaptation Method for Robust Object Detection"

Advanced_ML

BARTNER

blank_language_model

Blank Language Models

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

CasRel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

ConCasRTE

CopyingPenalty

On the Copying Behaviors of Pre-Training for Neural Machine Translation (Findings of ACL 2021)

CopyMTL

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

dark

Darklang main repo, including language, backend, and infra

EPT

Repository for Expression Pointer Transformer

express-hello-world

Express Hello World Example on Render

GLM

GLM (General Language Model)

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

ilm

Easily fine tune GPT-2 to fill in missing text

kroki

Creates diagrams from textual descriptions!

La-MAML

Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

Learning2Copy

nl4opt-competition

Natural Language for Optimization Modelling

nl4opt-subtask2-baseline

OD_dataset_conversion_scripts

object detection dataset conversion scripts

paradisa

Parrot_Paraphraser

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

PFN

A Partition Filter Network for Joint Entity and Relation Extraction

phidata

Build AI Assistants using function calling

PlanGen

Plan-then-Generate: Controlled Data-to-Text Generation via Planning (EMNLP 2021)

rad

RAD: Reinforcement Learning with Augmented Data

SimSiam

"Exploring Simple Siamese Representation Learning" PyTorch implementation

torchvision-FasterRCNN

torchvision faster-rcnn例子修改版

tranX

A general-purpose neural semantic parser for mapping natural language queries into machine executable code