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中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
Python implementations of the Boruta all-relevant feature selection method.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
人工精调的中文对话数据集和一段chatglm的微调代码
中文nlp解决方案(大模型、数据、模型、训练、推理)
用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"
This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contains the record of my learning of motor imagination
Siamese and triplet networks with online pair/triplet mining in PyTorch
Implementing Siamese networks with a contrastive loss for similarity learning
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
Data, Benchmarks, and methods submitted to the M5 forecasting competition
1st Place Solution to the Curriculum Recommendations on Kaggle
😘 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
kaggle:otto competition