vishalbelsare Goto Github PK
Name: Vishal Belsare
Type: User
Name: Vishal Belsare
Type: User
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677
Deep Learning Cookbox
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138
Deep Metric Learning
Deep metric learning methods implemented in Chainer
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
Trading Strategy Using Keras/Tensorflow LSTM and Custom Loss Function
Deep Neural Network Trading collection of Tensorflow Jupyter notebooks
DeepWalk - Deep Learning for Graphs
Deep learning library for solving differential equations and more
Delay embedding for time series modeling and classification
DeLighT: Very Deep and Light-Weight Transformers
C++ Implementation of Delta BM of Multiple Base Learners
DeltaPy - Tabular Data Augmentation (by @firmai)
Demonstrations of how to use material in the Econ-ARK
Demo notebooks inside a docker for end-to-end examples
DEMON: a local-first discovery method for overlapping communities.
A thorough analysis of Demonetisation in India through NLP techniques
Code for the paper Music Source Separation in the Waveform Domain
Charikar's greedy algorithm, code WWW'15 paper
Density-preserving data visualization tools den-SNE and densMAP
Find all the unique imports in your library
depthmapX is a multi-platform Spatial Network Analysis Software
Derivatives Algorithms Lib is an library with the goal to offer the functionality of AAD enabled and scripting included derivatives modeling.
Notebooks that replicate original quantitative finance papers from Emanuel Derman
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.