DeepLearningKit – Open Source Deep Learning Framework for Apple iOS, OS X We are introducing you to the new deep learning framework “DeepLearningKit”, for the Apple based OS which is developed in Metal and Swift.
on Dec 30, 2015 in
Apple, Deep Learning, iOS
Update: Google TensorFlow Deep Learning Is Improving The recent open sourcing of Google's TensorFlow was a significant event for machine learning. While the original release was lacking in some ways, development continues and improvements are already being made.
on Dec 17, 2015 in
Deep Learning, Google, Image Recognition, Jeff Hammerbacher, Matthew Mayo, NIPS, TensorFlow
WordStat 7.1: Geospatial Intelligence Meets Text Analytics Provalis Research text analysis software now features a geospatial intelligence module which transforms unstructured text data into interactive maps.
on Dec 16, 2015 in
Geospatial, GIS, Provalis, Text Analytics
50 Deep Learning Software Tools and Platforms, Updated We present the popular software & toolkit resources for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch. Explore the new list!
on Dec 15, 2015 in
Caffe, Deep Learning, Pylearn2, Theano, Tools
Top 10 Machine Learning Projects on Github The top 10 machine learning projects on Github include a number of libraries, frameworks, and education resources. Have a look at the tools others are using, and the resources they are learning from.
on Dec 14, 2015 in
GitHub, Machine Learning, Matthew Mayo, Open Source, scikit-learn, Top 10
Top New Features in Orange 3 Data Mining Platform The main technical advantage of Orange 3 is its integration with NumPy and SciPy libraries. Other improvements include reading online data, working through queries for SQL and pre-processing.
on Dec 10, 2015 in
Data Mining, Data Visualization, numpy, Orange, Python, scikit-learn
Create or machine-learn fuzzy logic rules for use with an on-line inference engine New DocAndys SaaS service supports user-created embeddable Fuzzy Logic Expert Systems. Use rule language Darl to hand-create or machine-learn rule sets from data and use them via REST interfaces.
on Dec 8, 2015 in
Fuzzy Logic, RESTful API, Rule Engines, SaaS
50 Useful Machine Learning & Prediction APIs We present a list of 50 APIs selected from areas like machine learning, prediction, text analytics & classification, face recognition, language translation etc. Start consuming APIs!
on Dec 7, 2015 in
API, Data Science, Face Recognition, IBM Watson, Image Recognition, Machine Learning, NLP, Sentiment Analysis
Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet Training deep neural nets can take precious time and resources. By leveraging an existing distributed batch processing framework, SparkNet can train neural nets quickly and efficiently.
on Dec 4, 2015 in
Apache Spark, Caffe, Deep Learning, Distributed Systems, H2O, Matthew Mayo, Neural Networks