- Hangzhou, China
- https://blog.pfchai.com
DL
用tensorflow进行中文自然语言处理的情感分析
自然语言处理NLP在中文文本上的一些应用,如文本分类、情感分析、命名实体识别等
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Making large AI models cheaper, faster and more accessible
all kinds of text classification models and more with deep learning
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
novel deep learning research works with PaddlePaddle
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Robust Speech Recognition via Large-Scale Weak Supervision
基于pytorch的bert_bilstm_crf中文命名实体识别
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Sparsity-aware deep learning inference runtime for CPUs
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
Understanding Deep Learning - Simon J.D. Prince
A cloud-native vector database, storage for next generation AI applications
☁️ Build multimodal AI applications with cloud-native stack
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
🦜🔗 Build context-aware reasoning applications