gaoshiping

gaoshiping's Stars

• HHTheBest/Computer-Architecture-Review

  A Brief Review for Computer Architecture

  193

• OpenBMB/UltraFeedback

  A large-scale, fine-grained, diverse preference dataset (and models).

  Language:Python30716

• fanqiwan/Explore-Instruct

  EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration

  Language:Python322

• trycatchx/BaiduMapClusterSample

  1.使用百度map 的地图，高仿ios 相册的Marker 聚合功能

  Language:Java6311

• hedj17/DST

  This project implements two dynamic spatiotemporal interpolation (DST) methods, i.e., coarse-grained DST (CGDST) and fine-grained DST (FGDST) using both temporal and spatial interpolation results. Different from other hybrid spatiotemporal interpolation methods, they make differences in the contribution of temporal and spatial interpolation results and assign them with different weights. Both CGDST and FGDST treat each missing value differently and fill it by considering the reliability of both temporal and spatial interpolation results in terms of the lengths of its column gap and row gap. CGDST treats each missing value in a continuous missing area equally and all missing values have same lengths of column and row gaps and FGDST goes beyond CGDST and treats each missing value differently based on its temporal distance to the nearest real observed values in both forward and backward directions.

  Language:Python112

• gaoshiping/RuningTensor

  编译原理课程设计，专门用于矩阵运算的语言，现阶段已经完成词法分析和语法分析

  Language:C++41

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.8k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.2k6.9k