xlich666's Stars
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
kochbj/Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
songyingxin/NLPer-Interview
该仓库主要记录 NLP 算法工程师相关的面试题
LooperXX/CS224n-Resource
CS224n Assignment & Readings
guillaumegenthial/sequence_tagging
Named Entity Recognition (LSTM + CRF) - Tensorflow
kamalkraj/BERT-NER-TF
Named Entity Recognition with BERT using TensorFlow 2.0
thunlp/Few-NERD
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
asappresearch/structshot
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
wavewangyue/ner
命名实体识别实践与探索
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
oliverguhr/transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
ghsama/ConvTransformerTimeSeries
Convolutional Transformer for time series
maxjcohen/transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
zhaoyuzhi/Deep-Convolutional-Network-Cascade-for-Facial-Point-Detection
TensorFlow implementation of cascade CNN, trained level-by-level
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
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。
Sierkinhane/CS229-ML-Implementation
Implementation of algorithms introduced in CS229.