Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Plug and play modules to optimize the performances of your AI systems 🚀

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

A Collection of Variational Autoencoders (VAE) in PyTorch.

An implementation of the paper [Vector-Quantization-Based Topic Modeling](https://dl.acm.org/doi/10.1145/3450946), providing a series of VQ-VAE models for topic modelling. The model reaches state-o…

Build your neural network easy and fast, 莫烦Python中文教学

Implementation of topic models based on neural network approaches.

Top2Vec learns jointly embedded topic, document and word vectors.

LaTeX template for dissertation proposals in Peking University Shenzhen.

Transformer encoder-decoder for emotion detection in dialogues

Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).

关于一些经典论文源码的逐行中文笔记

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

🎲 IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation