This repository contains implementations and illustrative code to accompany DeepMind publications
Repository Index
47,133 repositories indexed
1–24 of 31 · Most stars
An implementation of the Grammar of Graphics in R
- r
- visualisation
- data-visualisation
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
C++ implementation of the Python Numpy library
- python
- numpy
- c-plus-plus
- numerical-analysis
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Clean APIs for data cleaning. Python implementation of R package Janitor
- pandas
- dataframe
- data
- cleaning-data
Python implementation of CMA-ES
TensorFlow Implementation of "Show, Attend and Tell"
- tensorflow
- image-captioning
- show-attend-and-tell
- attention-mechanism
A Python Pandas implementation of technical analysis indicators
TensorFlow implementation of an arbitrary order Factorization Machine
- factorization-machines
- tensorflow
- research-project
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
an iOS open source Radar Chart implementation
Implementation of various topic models
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
A tensorflow implementation of an HMM layer
- tensorflow
- tensorflow-hmm
- viterbi
- hmm
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
- data-science
- data-processing
- python
- apache-spark
Python-based implementations of algorithms for learning on imbalanced data.
- data-science
- machine-learning
- imbalanced-data
- notre-dame
Multi-Paradigm Pipeline Implementation
A TensorFlow implementation of the Mnemonic Descent Method.
- tensorflow
- menpo
- face
- face-alignment
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
- fine-tuning
- vgg16
- resnet18
- densenet121
Modern Pure Go implementation of the HDF5 file format
- go
- golang
- hdf5
- hdf5-format