A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Reference code base for ML Engineering, Manning Publications

This project create an Hadoop and Spark cluster on Amazon AWS with Terraform

An example set of terraform files for deploying a Cloud SQL DB with a private IP address only

How certain is your transformer?

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.

React hooks for integrating with RxDB

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.

A curated list of references for MLOps

A game theoretic approach to explain the output of any machine learning model.

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))

Tracker for issues specific to Linux and Mac in the Reborn client. If you have a general issue or non-system-specific feature request please go to dev.dota2.com

Helper scripts and notes that were used while porting various nlp models

Code for "Understanding Neural Abstractive Summarization Models via Uncertainty" (EMNLP20)

This repository contains implementations and illustrative code to accompany DeepMind publications

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

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

A repository to host extended examples and tutorials

Github repo to upload demo files of youtube videos and linkedin

[WIP] Examples for the Intro to ML with Kubeflow book

Code samples used on cloud.google.com

The Google Cloud Developer's Cheat Sheet

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders