icfly2
I'm a data scientist aspiring to be a full stack data scientist. I'm interested in problems in green energy, fraud detection and mathematical optimisation.
Cyprus
icfly2's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
rushter/data-science-blogs
A curated list of data science blogs
pytorch/captum
Model interpretability and understanding for PyTorch
sparckles/Robyn
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
grantjenks/python-diskcache
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
Koed00/django-q
A multiprocessing distributed task queue for Django
instacart/lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
olipo186/Git-Auto-Deploy
Deploy your GitHub, GitLab or Bitbucket projects automatically on Git push events or webhooks using this small HTTP server written in Python. Continuous deployment in it's most simple form.
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
teddziuba/django-sslserver
A SSL-enabled development server for Django
yzhao062/combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
JohnCrickett/SystemDesign
Useful resources on distributed system design.
ldeecke/gmm-torch
Gaussian mixture models in PyTorch.
tommyod/awesome-pandas
A collection of resources for pandas (Python) and related subjects.
IBM/AMLSim
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.
aangelopoulos/conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
EliFinkelshteyn/alphabet-detector
A library to detect what alphabet something is written in.
nicolewhite/neo4j-jupyter
TyXe-BDL/TyXe
HDFGroup/hdf-compass
Python-based viewer for HDF5 on other file formats
Jimmy-Lin/GeneralizedOptimalSparseDecisionTrees
Generalized Optimal Sparse Decision Trees
LucasBoTang/Optimal_Classification_Trees
Three MIP models for optimal classification tree: OCT, binOCT, flowOCT
renanivo/pytest-testdox
A TestDox format reporter for pytest
D3M-Research-Group/StrongTree
icfly2/neographviz
A draw function for neo4j graphs, usable as app or in jupyter notebooks.
RichardOberdieck/optimization-blog
A collection of Jupyter notebooks with some stuff on optimization and related topics.
RichardOberdieck/BarMeUp_Opt
Optimization part of the BarMeUp problem