AI Trends
Reporting, analysis and features from AIM's AI Trends section.
What is Apple’s Quant for Neural Networks Quantization
Quantization is the process of mapping the high precision values (a large set of possible values) to low precision values(a smaller set of possible values). Quantization can be done on both weights and activations of a model.
Pavan Kandru ·
Build A Data Science Career In The USA With An International Tech MBA
AIM Media House ·
Complete Guide to SDNet: Contextualized Attention-based Deep Network for Conversational Question-Answering
SDNet is a contextualized attention based deep neural network that achieved State of the Art results in the challenging task of Conversational Question Answering. It makes use of inter attention and self-attention along with Recurrent BIdi…
Pavan Kandru ·
Top 6 Alternatives To Hugging Face
With Hugging Face raising $40 million funding, NLPs has the potential to provide us with a smarter world ahead.
kumar Gandharv ·
Python Guide to HuggingFace DistilBERT - Smaller, Faster & Cheaper Distilled BERT
Aishwarya Verma ·
How To Generate Conditional Image Via MixNMatch
MixNMatch is a conditional generative model that disentangles and encodes background, object pose, shape, and texture from real images with minimal supervision.
Aditya Singh ·
8 Best Free Resources To Learn XGBoost
Ambika Choudhury ·
Guide to Salesforce’s CTRL: Conditional Transformer Language Model
Researchers from Salesforce have released a new powerful generative language model that reaches a new milestone in generative language models’ history!
Rajkumar Lakshmanamoorthy ·
Hands-on Guide to The Evolved Transformer on Neural Machine Translation
Evolved Transformer has been evolved with neural architecture search (NAS) to perform sequence-to-sequence tasks such as neural machine translation (NMT)
Rajkumar Lakshmanamoorthy ·
How Lyft’s Library for Self-driving Simulation works
Aishwarya Verma ·
Guide to TensorFlow Extended(TFX): End-to-End Platform for Deploying Production ML Pipelines
Aishwarya Verma ·
Guide To PyTorch Metric Learning: A Library For Implementing Metric Learning Algorithms
Nikita Shiledarbaxi ·
PyTorch Code for Self-Attention Computer Vision
Self-Attention Computer Vision is a PyTorch based library providing a one-stop solution for all of the self-attention based requirements
Rajkumar Lakshmanamoorthy ·
What Is Transformer-iN-Transformer?
Ambika Choudhury ·
What Is Trax and How Is It A Better Framework For Advanced Deep Learning?
Aditya Singh ·
What is Transformer XL?
Transformer XL is a Transformer model that allows us to model long range dependencies while not disrupting the temporal coherence.
Pavan Kandru ·
Microsoft Unveils Low-Code Programming Language Power Fx
Ambika Choudhury ·
Guide to Google’s Tensor2Tensor for Neural Machine Translation
Tensor2Tensor based Transformer built with self-attention layers becomesstate-of-the-art model in Neural Machine Translation
Rajkumar Lakshmanamoorthy ·
Introduction To Keras Graph Convolutional Neural Network(KGCNN) & Ragged Tensor
KGCNN offers a straightforward and flexible integration of graph operations into the Tensorflow-Keras framework using RaggedTensors.
Aditya Singh ·
From The Vault: Top Statistical Ideas Behind The Data Science Boom
Ram Sagar ·