Author Archives: Aditya Singh - Page 4
Self-attention models, specifically Transformers have taken the computer vision field by storm be it OpenAI’s DALL-E or Google’s ViT models. This creates a need for tools that can interpret and visualize the decision process behind transformer models. These visualizations can be used to debug models and verify that the models are fair and unbiased. A…
The post Compute Relevancy of Transformer Networks via Novel Interpretable Transformer appeared first on Analytics India Magazine.
Localized Randomized Affine Shadowsampling (LoRAS) locally approximates the manifold by generating a random convex combination of noisy minority class data points.
The post Hands-on Guide to LoRAS: A Better Oversampling Algorithm appeared first on Analytics India Magazine.
NeX is a new scene representation based on MPI that models view-dependent effects by performing basis expansion on the pixel representation.
The post What is NeX? Guide to Real-time View Synthesis with Python Code appeared first on Analytics India Magazine.
ResNeSt architecture combines the channel-wise attention with multi-path representation into a single unified Split-Attention block.
The post Guide to ResNeSt: A Better ResNet with the Same Costs appeared first on Analytics India Magazine.
The basic premise of BigGAN is simple; scale-up GAN training to benefit from larger models and larger batches.
The post Hands-on Guide to BigGAN with Python code appeared first on Analytics India Magazine.
The basic premise of BigGAN is simple; scale-up GAN training to benefit from larger models and larger batches.
The post Hands-on Guide to BigGAN with Python code appeared first on Analytics India Magazine.
Lux is a Python package that aims to make data exploration easier and quicker with its simple one-line syntax and visualization recommendations.
The post Python Guide to Lux: Interactive Visual Discovery appeared first on Analytics India Magazine.
CoreMLTools is a framework created by Apple that allows you to convert models from third-party libraries to the Core ML format.
The post Converting PyTorch and TensorFlow Models into Apple Core ML using CoreMLTools appeared first on Analytics India Magazine.
Spleeter is a source separation Python library created by the Deezer R&D team for various types of source separation tasks.
The post Overview of Spleeter: A Music Source Separation Engine appeared first on Analytics India Magazine.
Orbit is an open-source Python framework created by Uber for Bayesian time series forecasting and inference.
The post Hands-on Guide to Orbit: Uber’s Python Framework For Bayesian Forecasting & Inference appeared first on Analytics India Magazine.