LauraeAdvanced High Performance Data Science Toolbox for R by Laurae
Estadistica Con RApuntes personales sobre estadística, machine learning y lenguaje de programación R
Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Ten Rules JupyterTen Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Split Folders🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
PapersSummaries of machine learning papers
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
MmlsparkSimple and Distributed Machine Learning
Cml♾️ CML - Continuous Machine Learning | CI/CD for ML
Halite IiSeason 2 of @twosigma's artificial intelligence programming challenge
UrduhackAn NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.
ImageatmImage classification for everyone.
CoqgymA Learning Environment for Theorem Proving with the Coq proof assistant
FacerecA Tensorflow implementation of Facial Recognition in Python
LaleLibrary for Semi-Automated Data Science
MlfinlabMlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Siamese TripletSiamese and triplet networks with online pair/triplet mining in PyTorch
RadioRadIO is a library for data science research of computed tomography imaging
Cornell MoeA Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
S Vae TfTensorflow implementation of Hyperspherical Variational Auto-Encoders
Stock Selection A FrameworkThis project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
MlCodes related to various ML Hackathons
Neuralcoref✨Fast Coreference Resolution in spaCy with Neural Networks
ClearmlClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Thinc🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
AcurustrackA multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.
100daysofcode#100DaysOfCode - Learn by developing 100 unique apps to explore exciting tech stacks
ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
PygpgoBayesian optimization for Python
PaacOpen source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
DeepvariantDeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.