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
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
sparckles/Robyn
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
pytorch/captum
Model interpretability and understanding for PyTorch
nalepae/pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
mistralai/mistral-finetune
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
davidgasquez/awesome-duckdb
🦆 A curated list of awesome DuckDB resources
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.
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.
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
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.
banking-circle-advanced-analytics/simstring-fast
A Python implementation of the SimString, a simple and efficient algorithm for approximate string matching.
RichardOberdieck/optimization-blog
A collection of Jupyter notebooks with some stuff on optimization and related topics.
ChristianOrr/sequential-ft-transformer
This is a implementation of the FT-Transformer using the Keras/Tensorflow 2 Functional API
RichardOberdieck/opti_fit
Scripts and data related to the finding of optimal thresholds for string matching.
RichardOberdieck/BarMeUp_Opt
Optimization part of the BarMeUp problem