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1dcnn_for_tabular-keras

anomaly-transformer-tf.keras

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

csrgraph

A tiny library for large graphs

deepar-keras

keras version deepar

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

esrnn-keras

ESRNN by keras

etrnn

explorekit

ghm-keras

GHM-C Loss of keras

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

kaggle_utils

summary of useful code from kaggle competitions

keras-multi-task

A TensorFlow Keras implementation of some kinds of multi task learning architecture

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

lstnet-with-attention-tf.keras

machine-learning-in-action-by-cython-numba-pyjulia-etc

python手写机器学习算法，使用cython、numba、pyjula等方式加速

mtlearn

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

multi-objective-optimization

multi objective optimization of deep learning with pytorch

multimodal-toolkit

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

neural-structured-learning

Training neural models with structured signals.

nodevectors

Fastest network node embeddings in the west

npairloss-pytorch

pygcn

Graph Convolutional Networks in PyTorch

pytorch-forecasting

Time series forecasting with PyTorch

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

pytrendseries

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

seed_everthing