🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…

State-of-the-art LLM-based translation models.

Robust recipes to align language models with human and AI preferences

WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction, to appear at ACL 2023 main conference.

Inference library and evaluation script for WSPAlign (https://github.com/qiyuw/WSPAlign)

Reference implementation for DPO (Direct Preference Optimization)

Build, evaluate, understand, and fix LLM-based apps

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

Ongoing research training transformer models at scale

LangChain 的中文入门教程

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Aligning pretrained language models with instruction data generated by themselves.

Collection of papers and resources for data augmentation for NLP.

EMNLP 2022 "PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings"

Jupyter notebooks for the Natural Language Processing with Transformers book

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.

SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

PyTorch Tutorial for Deep Learning Researchers

Jupyter notebooks for using & learning Keras

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Best Practices on Recommendation Systems

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

TensorFlow code and pre-trained models for BERT

Semantic Text Similarity Dataset Hub

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

IDEA使用技巧简述