AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Guide to PM4Py: Python Framework for Process Mining Algorithms
Process Mining is the amalgamation of computational intelligence, data mining and process management. It refers to the data-oriented analysis techniques used to draw insights into organizational processes.
Pavan Kandru ·
Hands-On Guide To BigGAN With Python Code
The basic premise of BigGAN is simple; scale-up GAN training to benefit from larger models and larger batches.
Aditya Singh ·
Python Guide To Lux: Interactive Visual Discovery
Lux is a Python package that aims to make data exploration easier and quicker with its simple one-line syntax and visualization recommendations.
Aditya Singh ·
Guide To PyOD: A Python Toolkit For Outlier Detection
Nikita Shiledarbaxi ·
Guide to Perceiver: A Scalable Transformer-based Model
Perceiver is a transformer-based model that uses both cross attention and self-attention layers to generate representations of multimodal data. A latent array is used to extract information from the input byte array using top-down or feedb…
Pavan Kandru ·
6 FAQs On Cybersecurity Career In 2021: Answered
With digitisation booming, cybersecurity roles are going to be the most high-rated jobs. Knowing the in and out of a career in cybersecurity
kumar Gandharv ·
Guide To AmpliGraph: A Machine Learning Library For Knowledge Graphs
Nikita Shiledarbaxi ·
Converting PyTorch & TensorFlow Models Into Apple Core ML Using CoreMLTools
CoreMLTools is a framework created by Apple that allows you to convert models from third-party libraries to the Core ML format.
Aditya Singh ·
Top 10 Journals To Publish Machine Learning Research In 2021
Ambika Choudhury ·
Python 3.10: What To Expect
Ambika Choudhury ·
Python Guide to Neural Body: Converting 2D images to 3D
Neural Body employs sparse cameras to capture the poses of dynamic human body and renders integrated high-quality 3D views and scenes.
Rajkumar Lakshmanamoorthy ·
Guide To Vowpal Wabbit: A State-of-the-art Library For Interactive Machine Learning
Nikita Shiledarbaxi ·
AI Safety In a Complex World: A Checklist By DeepMind
Ram Sagar ·
Guide to SelfTime: Self-supervised Time Series Representation Learning Framework with Python code
SelfTime is the state-of-the-art time series framework by finding inter-sample and intra-temporal relations
Rajkumar Lakshmanamoorthy ·
Behind Facebook’s TimeSformer: A New Video Architecture Based Purely On Transformers
Ambika Choudhury ·
Top 8 Online Resources To Get Started With Self-Driving Vehicles In 2021
Ambika Choudhury ·
Guide To Catalyst - A PyTorch Framework For Accelerated Deep Learning
Nikita Shiledarbaxi ·
What Are Discriminative & Generative Models? How Do They Differ?
Shraddha Goled ·
The Worth Of Prompts In Pre-trained Models
Ambika Choudhury ·
Introduction to SIREN: Sinusoidal Representation Networks for Implicit Neural Representations
SIRENs are trained and validated for implicit neural representations using hyper networks with quick and accurate sine activation functions
Rajkumar Lakshmanamoorthy ·