ysh329 / awesome-deep-learning-finetune-experienceLinks
This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
☆16Updated 7 years ago
Alternatives and similar repositories for awesome-deep-learning-finetune-experience
Users that are interested in awesome-deep-learning-finetune-experience are comparing it to the libraries listed below
Sorting:
- ☆18Updated 5 years ago
- ☆15Updated 5 years ago
- A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…☆24Updated 4 years ago
- This repo is using imitating learning to optimize portfolio. The code was derived from https://github.com/vermouth1992/drl-portfolio-mana…☆11Updated 6 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 7 years ago
- https://www.kaggle.com/c/m5-forecasting-accuracy/overview/☆12Updated 4 years ago
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…☆19Updated 4 years ago
- MATLAB code to produce results and figures in the paper "Stochastic Optimal Control of Pairs Trading Strategies with Absolute and Relativ…☆14Updated 7 years ago
- Ensemble models, machine learning, deep learning, optimization☆13Updated 4 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆21Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…☆21Updated 6 years ago
- ☆14Updated 7 years ago
- Deep RL for portfolio management☆12Updated 6 years ago
- Stacking classification and regression☆24Updated 5 years ago
- A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.☆18Updated 4 years ago
- kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting☆16Updated 7 years ago
- tabular q learning for trading☆12Updated 6 years ago
- This project is a research on how to extract rules from the existing data using trained Decision Tree. The dataset used to train the mode…☆16Updated 5 years ago
- Machine Learning examples adapted from Hastie, Tibshirani, and Friedman book☆9Updated 7 years ago
- ☆26Updated 3 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆17Updated 7 years ago
- Code for KDD CUP 2019 Auto-ML track☆21Updated 5 years ago
- AdaX: Adaptive Gradient Descent with Exponential Long Term Momery☆34Updated 5 years ago
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆40Updated 6 years ago
- ☆10Updated 6 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- ☆11Updated 5 years ago
- (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"☆16Updated 7 years ago
- Time series data similarity matching based on Fourier Transform and Wavelet Transform.☆11Updated 4 years ago