Craigacp
PhD in Machine Learning. Researcher in @oracle Labs Machine Learning Research Group. Lead developer on Tribuo. FEAST & MIToolbox are my PhD work.
@oracle Labs
Craigacp's Stars
google/yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
ashkamath/mdetr
ClaraBing/Generalized_Boosting
tensorflow/java-ndarray
jhalexand/VaccineSentinelMA
Watches macovidvaccines.com for new appointments and can invoke a notification script when there are appointments
cjlin1/libsvm
LIBSVM -- A Library for Support Vector Machines
bwaldvogel/liblinear-java
Java version of LIBLINEAR
linkedin/dagli
Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).
neomatrix369/nlp_profiler
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
onnx/onnx
Open standard for machine learning interoperability
SpencerPark/IJava
A Jupyter kernel for executing Java code.
oracle/tribuo-site
The website for the Tribuo Java Machine Learning Library - https://github.com/oracle/tribuo
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
oracle/olcut
A Java configuration, shell, and general utility toolkit
xiyanghu/OSDT
Optimal Sparse Decision Trees
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
tensorflow/java-models
Models in Java
tensorflow/java
Java bindings for TensorFlow
flame/blis
BLAS-like Library Instantiation Software Framework
sechidis/2019-MLJ-Efficient-feature-selection-using-shrinkage-estimators
Matlab code for the methods presented in the paper "Efficient Feature Selection Using Shrinkage Estimators"
GPflow/GPflow
Gaussian processes in TensorFlow
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
stan-dev/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
factorie/factorie
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
18sg/SHET
SHET House Event Tunnelling.