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

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone

For sentence tagging

Real-time face swap for PC streaming or video calls

Library for fast text representation and classification.

Super easy library for BERT based NLP models

该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

Taming Transformers for High-Resolution Image Synthesis

A Natural Language Processing based project that aims at categorizing e-commerce products based on their description using Machine Learning and Deep Learning techniques (implemented using PyTorch).

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Multimodal-GPT

商品类目预测，使用 Spring Boot 开发框架和 Spark MLlib 机器学习框架，通过 TF-IDF 和 Bayes 算法，训练出一个商品类目预测模型。该模型可以根据商品名称自动预测出商品类目。项目对外提供 RESTFul 接口。

PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System

Pytorch-Named-Entity-Recognition-with-BERT

LAVIS - A One-stop Library for Language-Vision Intelligence

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

MTEB: Massive Text Embedding Benchmark

Tools to download and cleanup Common Crawl data

Baseline Systems of DuReader Dataset

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Pytorch Implementation of Google BERT

A learning rate range test implementation in PyTorch

Google AI 2018 BERT pytorch implementation

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM