Pinned Repositories
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ai-challenge-deadlines
AI challenge deadlines with link to software baselines and evaluation results.
attention-networks-for-classification
Hierarchical Attention Networks for Document Classification in PyTorch
awesome-jupyterlab
A curated list of awesome JupyterLab extensions and resources
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
BERT-pytorch
Google AI 2018 BERT pytorch implementation
BERTvsULMFIT
Comparing Text Classification results using BERT embedding and ULMFIT embedding
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
machenfeng's Repositories
machenfeng/ai-challenge-deadlines
AI challenge deadlines with link to software baselines and evaluation results.
machenfeng/awesome-jupyterlab
A curated list of awesome JupyterLab extensions and resources
machenfeng/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
machenfeng/Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
machenfeng/BERT-pytorch
Google AI 2018 BERT pytorch implementation
machenfeng/BERTvsULMFIT
Comparing Text Classification results using BERT embedding and ULMFIT embedding
machenfeng/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
machenfeng/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15个章节，近20万字。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
machenfeng/DiverseFewShot_Amazon
machenfeng/DPCNN
implement DPCNN for text classification
machenfeng/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
machenfeng/ELMoForManyLangs
Pre-trained ELMo Representations for Many Languages
machenfeng/fastai
The fast.ai deep learning library, lessons, and tutorials
machenfeng/feature-engineering-for-ml-zh
:book: [译] 面向机器学习的特征工程
machenfeng/hyperlearn
Faster, Leaner Scikit Learn (Sklearn) morphed with Statsmodels & Deep Learning drop in substitute. Designed for big data, HyperLearn can use 50%+ less memory, and runs 50%+ faster on some modules. Will have GPU support, and all modules are parallelized. Written completely in PyTorch, Numba, Numpy, Pandas, Scipy & LAPACK.
machenfeng/Induction-Network-on-FewRel
An attempt at replicating the Induction Network for FewRel data in Tensorflow
machenfeng/JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
machenfeng/lmdb-embeddings
Fast word vectors with little memory usage in Python
machenfeng/Model-Zoo
model zoo of Ma Chenfeng
machenfeng/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
machenfeng/octconv-pytorch
Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)
machenfeng/RCZoo
question answering, reading comprehension toolkit
machenfeng/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
machenfeng/text_classification
all kinds of text classification models and more with deep learning
machenfeng/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
machenfeng/tf_ner
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
machenfeng/Thesis
thesis
machenfeng/torchstat
Model analyzer in PyTorch
machenfeng/toutiao-text-classfication-dataset
今日头条中文新闻（文本）分类数据集
machenfeng/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).