HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

SPLADE: sparse neural search (SIGIR21, SIGIR22)

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

Full text search that feels like a numpy array

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation

Generative Representational Instruction Tuning

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

A Pythonic framework to simplify AI service building

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

An industrial deep learning framework for high-dimension sparse data

A high performance and generic framework for distributed DNN training

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

2020 MIND news recomendation first place solution

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Distributed Peer-to-Peer Web Search Engine and Intranet Search Appliance

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A comprehensive list of awesome contrastive self-supervised learning papers.

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Label Studio is a multi-type data labeling and annotation tool with standardized output format

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Tools for cleaning and normalizing text data

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

A fast, high-quality neural vocoder.