Pinned Repositories
a_journey_into_math_of_ml
汉语自然语言处理视频教程-开源学习资料
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
AlgorithmicTrading
Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algorithm and Trading strategy to maximize gain for future orders placed automatically via the program.
asyncio-coroutine-patterns
Code examples for "Asyncio Coroutine Patterns"
autogluon
AutoGluon: AutoML Toolkit for Deep Learning
awesome
😎 Awesome lists about all kinds of interesting topics
bar_chart_race
Create animated bar chart races in Python with matplotlib
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
saksim's Repositories
saksim/AlgorithmicTrading
Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algorithm and Trading strategy to maximize gain for future orders placed automatically via the program.
saksim/dash-docsets
Dash docsets for common scientific Python packages
saksim/IntensityCreditModels
Code used to implement various stochastic intensity models for univariate and multivariate credit risk models.