learner-lc

learner-lc's Stars

• MatNLP/SMedBERT

  SMedBERT: A Knowledge-Enhanced Pre-trained Language Model withStructured Semantics for Medical Text Mining

  Language:Python7615

• sty945/bank_interview

  :bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

  5.1k629

• LAMDA-NJU/Deep-Forest

  An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

  Language:Python905158

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39k11.4k

• heucoder/dimensionality_reduction_alo_codes

  特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

  Language:Python2.3k619

• Sienbo/machine-learning

  Language:Python54

• apachecn/sklearn-doc-zh

  :book: [译] scikit-learn（sklearn） 中文文档

  Language:CSS5.1k1.5k

• LIVIAETS/boundary-loss

  Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

  Language:Python64395

• yassouali/pytorch-segmentation

  :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

  Language:Jupyter Notebook1.6k378

• ShawnBIT/UNet-family

  Paper and implementation of UNet-related model.

  Language:Python2.5k501

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k1.1k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook18.8k6.3k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.6k4.5k