Deepinsight : User-Friendly Deep Learning Tool to Decode Neural Activity in an Automated Way
DeepInsight is a deep learning-based decoding framework for discovering and characterizing the neural correlates of behavior and stimuli in unprocessed neural data....
AI-Powered Digital Asset Management (DAM)—What It Is and How It Works
They say that content is king. However, it’s the kind of king you want to control and use as an asset in...
Nvidia’s StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN
Nvidia launches its upgraded version of StyleGAN by fixing artifacts features and further improves the quality of generated images. StyleGAN being the...
This new Object-Recognition Dataset, ‘ObjectNet’, stumped the leading Computer Vision Models
Developed by a team of MIT and IBM researchers, 'ObjectNet' is a dataset that tries to solve the complexity of real-world objects. ...
Recognizing Malaria Cells Using Keras Convolutional Neural Network(CNN)
Artificial Intelligence has vast-ranging attention and its utilization in the healthcare business or industry. As an intense learner and a Kaggle beginner,...
Uber’s Plug and Play Language Model (PPLM) Allows Steering Topic and Attributes of GPT-2...
It's impressive that Generative models like Open AI's GPT-2 automatically create texts using limited input. But controlling the attributes (topics, context, sentiment)...
Netflix open-sources its Python Framework ‘Metaflow’ for building and managing data science projects
Netflix open-sources its human-friendly Python Framework 'Metaflow' to build and manage real-life data science projects with ease. Metaflow was originally developed...
This open-source tool ‘Doccano’ provides annotation features for text classification
Doccano is an open-source text annotation tool for machine learning professionals. It sets annotation features for sequence labeling, text classification and sequence...
This Lightweight, Python library ‘Steppy’ can be used for fast and reproducible data science/machine...
'Steppy' is a light python-3 library that can be used for fast and reproducible data science/machine learning experimentation. It reduces the burden...
François Chollet, creator of Keras on TensorFlow 2.0 and Keras integration, tricky design decisions...
TensorFlow 2.0 was made available last month. One of the major highlights of this release was the integration of Keras into TensorFlow....
