Quant-NLP's starred repositories
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
py_vollib_vectorized
A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
ABSADatasets
Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification
jane_street
kaggle competition
hyperopt-sklearn
Hyper-parameter optimization for sklearn
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
TextBrewer
A PyTorch-based knowledge distillation toolkit for natural language processing
research_tao
NLP研究入门之道
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.
github-visualization
simple github visualization