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256_group_project

a-_guide_-to_data_sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

a-wc-gcn-for-short-text-classification

aceso

source code and dataset of paper: Aceso: PICO-guided Evidence Summarization on Medical Literature

active_learning

Link Prediction on graph

adapter-transformers

Huggingface Transformers + Adapters = ❤️

amazon-neptune-samples

Samples and documentation for using the Amazon Neptune graph database service

ampl

The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.

amplify_react

AWS Amplify React Project

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

appsyncgraphqlnotes

AWS Amplify Multiuser GraphQL CRUD(L) App powered by AWS AppSync

assess-multilingual-bert

Scripts for assesing multilingual BERT.

autogl

AutoGL is a graph learning framework with automatic machine learning techniques, and the 6th solution for AutoGraph Challenge@KDD'20

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

aws-cdk-examples

aws-devops-cdk

repo with AWS CDK Examples

aws-experiment

Learning AWS

aws-http-test

aws-marketplace-oe-patterns-wordpress

aws-mlops-framework

The AWS MLOps Framework solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

aws-neptune-fullstack-serverless-recommendations-application

Serverless Fullstack Application built on top of AWS Neptune, DynamoDB and APIGateway.

aws-perspective

AWS Perspective is a solution to visualize AWS Cloud workloads. Using Perspective you can build, customize, and share detailed architecture diagrams of your workloads based on live data from AWS. Perspective works by maintaining an inventory of the AWS resources across your accounts and regions, mapping relationships between them and displaying them in the Web User Interface (Web UI). When you need to make changes to a resource, Perspective saves time by providing a link to the resource in the AWS Console.

aws-pythoncdk-iam

aws-step-functions-kendra-web-crawler-search-engine

This sample aims to demonstrate how to create a serverless web crawler and search engine, using AWS Lambda, AWS Step Functions, and Amazon Kendra

aws_github_actions

GitHub Actions with AWS CDK

baleen

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)

bern

A neural named entity recognition and multi-type normalization tool for biomedical text mining

bert-crf-entity-recognition-pytorch

Entity recognition using BERT + CRF for single-tun / multi-turn setting in dialogues

bert-extractive-summarizer

Easy to use extractive text summarization with BERT

bert-sda

A PyTorch implementation of "Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation"