vishalbelsare Goto Github PK
Name: Vishal Belsare
Type: User
Vishal Belsare's Projects
palobst
PaloBoost is an overfitting-robust Gradient Boosting algorithm.
panaxea
A minimalist framework for agent-based modelling in Python.
pandapy
PandaPy has the speed of NumPy and the usability of Pandas (10x to 50x faster)
pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandas-datareader
Extract data from a wide range of Internet sources into a pandas DataFrame.
pandas-ml
pandas, scikit-learn, xgboost and seaborn integration
pandas-msgpack
Pandas Msgpack
pandas-ply
functional data manipulation for pandas
pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
pandas-to-postgres
Copy Pandas DataFrames and HDF5 files to PostgreSQL database
pandas_redshift
Load data from redshift into a pandas DataFrame and vice versa.
pandas_talib
A Python Pandas implementation of technical analysis indicators
pandas_workshop
A tutorial on some useful Pandas features
pandasbt
Simples Framework to Backtest Strategies using pandas
pandasdmx
Python interface to SDMX
pandasvault
Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).
panel
A high-level app and dashboarding solution for Python
pao
A Python Package for Adversarial Optimization
paperless
Scan, index, and archive all of your paper documents
papermillr
R bindings for papermill
papers
good paper collection
papers-to-read
:balloon: Papers to Read (summary, explanation, and implementation)
papers-we-love
Papers from the computer science community to read and discuss.
paperwork
Paperwork - OpenSource note-taking & archiving alternative to Evernote, Microsoft OneNote & Google Keep
parallel-computing
Parallel Computing (B-KUL-H03F9A)
parallel-louvain-modularity
MPI based distributed memory implementation of Louvain method for non overlapping community detecction
param
Param: Make your Python code clearer and more reliable by declaring Parameters
parameter-estimation-jump-langevin
Code for the paper "Bayesian Parameter Estimation of Jump-Langevin Systems for Trend Following in Finance" by James Murphy and Simon Godsill
parameterimportance
Parameter Importance Analysis Tool
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