⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

📝Awesome and classical image retrieval papers

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Natural Language Processing(NLP) Toolbox

High-quality datasets, tools, and concepts for LLM fine-tuning.

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

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

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