liuph0119

liuph0119's Stars

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Jupyter Notebook163k6.1k66553.4k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.7k2.2k19116k

• ziishaned/learn-regex

  Learn regex the easy way

  46k896866.3k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python28.1k1.6k417.9k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python21.7k266722.8k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python21k3041.4k2.6k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML18.2k7666293.6k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.3k596183k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python16k459503.8k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python14k554994.9k

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.5k604443k

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.4k621272.8k

• rushter/MLAlgorithms

  Minimal and clean examples of machine learning algorithms implementations

  Language:Python10.8k421281.8k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.6k285221.8k

• microsoft/nlp-recipes

  Natural Language Processing Best Practices & Examples

  Language:Python6.4k187211917

• FudanNLP/nlp-beginner

  NLP上手教程

  6k9921.3k

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.8k21410740

• 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:Python2.3k415621

• cgpotts/cs224u

  Code for Stanford CS224u

  Language:Jupyter Notebook2.1k8722924

• yongzhuo/Keras-TextClassification

  中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

  Language:Python1.8k3388404

• plasticityai/magnitude

  A fast, efficient universal vector embedding utility package.

  Language:Python1.6k3784119

• davidADSP/GDL_code

  The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

  Language:Jupyter Notebook1.5k5382740

• XiangLi1999/PrefixTuning

  Prefix-Tuning: Optimizing Continuous Prompts for Generation

  Language:Python917851160

• dalmia/David-Silver-Reinforcement-learning

  Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

  Language:Jupyter Notebook803215213

• HUSTAI/uie_pytorch

  PaddleNLP UIE模型的PyTorch版实现

  Language:Python623345108

• xlang-ai/UnifiedSKG

  [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

  Language:Python556123959

• luozhouyang/AutoPhraseX

  Automated Phrase Mining from Massive Text Corpora in Python.

  Language:Python1715937

• powerycy/DeepKg

  Knowledge Graph

  Language:ChucK1714325

• rpryzant/deconfounded-lexicon-induction

  Find text features that are most related to an outcome, controlling for confounds.

  Language:Python604211

• salesforce/Overture

  Library for soft prompt tuning

  Language:Python23602