John's Projects
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案,结构参考alpaca
Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
COCO API - Dataset @ http://cocodataset.org/
The official homepage of the COCO-Stuff dataset.
The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
Replication package for evaluation of code generation metrics
Code Intelligence
Datasets, tools, and benchmarks for representation learning of code.
CodeUp: A Multilingual Code Generation Llama2 Model with Parameter-Efficient Instruction-Tuning on a Single RTX 3090
Papers, codes , and framewroks that used in Recommender System to solve code-start challenge problem.
Code to reproduce the results for Compositional Attention
2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
[NeurIPS'22 Spotlight] CoNT: Contrastive Neural Text Generation
A list of contrastive Learning papers
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Novel Coronavirus 2019 time series data on cases
Extremely simple implement for Chinese OCR by PyTorch.
计算机自学指南
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
The simplest way to run LLaMA on your local machine
Dual Attention Network for Scene Segmentation (CVPR2019)
Samples for users of the Yelp Academic Dataset
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
List of papers, code and experiments using deep learning for time series forecasting