Pinned Repositories
abbreviation-extraction
Python3 implementation of the Schwartz-Hearst algorithm for extracting abbreviation-definition pairs
ai-chatbot-framework
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
AlphaPy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
bad-commit-message-blocker
Inhibits commits with bad messages from getting merged
bert-embedding
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
choix
Inference algorithms for models based on Luce's choice axiom
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
delfi
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
DenseTorch
An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
notthatanonymous's Repositories
notthatanonymous/ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
notthatanonymous/bert-embedding
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
notthatanonymous/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
notthatanonymous/entropy
EntroPy: complexity of time-series in Python (DEPRECATED)
notthatanonymous/Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
notthatanonymous/funk-svd
:zap: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
notthatanonymous/healthcareai-py
Python tools for healthcare machine learning
notthatanonymous/hub-toolbox-python3
Hubness analysis and removal functions
notthatanonymous/IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
notthatanonymous/ivis
Dimensionality reduction in very large datasets using Siamese Networks
notthatanonymous/kernel-gof
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
notthatanonymous/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
notthatanonymous/LocalGraphClustering
notthatanonymous/netharn
Parameterized fit and prediction harnesses for pytorch
notthatanonymous/pescador
Stochastic multi-stream sampling for iterative learning
notthatanonymous/pyalcs
Implementation of Anticipatory Learning Classifiers System (ALCS) in Python
notthatanonymous/pyglmnet
Python implementation of elastic-net regularized generalized linear models
notthatanonymous/pymc-learn
pymc-learn: Practical probabilistic machine learning in Python
notthatanonymous/pymfe
Python Meta-Feature Extractor package.
notthatanonymous/pytorch-wrapper
Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
notthatanonymous/recoder
Large scale training of factorization models for Collaborative Filtering with PyTorch
notthatanonymous/regain
REGAIN (Regularised Graphical Inference)
notthatanonymous/sample_project-housing-price-prediction
notthatanonymous/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
notthatanonymous/scikit-garden
A garden for scikit-learn compatible trees
notthatanonymous/scitime
Training time estimation for scikit-learn algorithms
notthatanonymous/spotlight
Deep recommender models using PyTorch.
notthatanonymous/starboost
:star::rocket: Gradient boosting on steroids
notthatanonymous/stheno
Gaussian process modelling in Python
notthatanonymous/tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support