🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Best Practices on Recommendation Systems

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

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

CNNs for Sentence Classification in PyTorch

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

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

A Benchmark of Text Classification in PyTorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

a python code of applying GBDT+LR for CTR prediction

Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

Source code for "Efficient Training of BERT by Progressively Stacking"

Natural language generation language

SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling

Continuous relaxation of Random Regression Forests

The Neural Ensemble Trees (NET) is a neural model based on RF or GBDT.

Research Benchmarks for Online Prediction Tasks.

AAAI'2020: Light Multi-segment Activation for model compression