Xiaodong's repositories

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

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torchtune

A Native-PyTorch Library for LLM Fine-tuning

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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BIG-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

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CLIP

Contrastive Language-Image Pretraining

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ConvNeXt

Code release for ConvNeXt model

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DeCLUTR

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

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DPR

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

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KILT

Library for Knowledge Intensive Language Tasks

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llama

Inference code for LLaMA models

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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LM-BFF

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

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mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

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promptsource

Toolkit for creating, sharing and using natural language prompts.

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pyrouge

A Python wrapper for the ROUGE summarization evaluation package

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reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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Stock_Analysis_For_Quant

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

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TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

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