Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
How Is Rebel Foods Transforming The Food Business With AI
Srishti Deoras ·
Guide To GluonTS and PytorchTS For Time-Series Forecasting (With Python Implementation)
Mohit Maithani ·
A Text Summarizer & A Mind Reader By Facebook — How Will They Make A Difference?
Ambika Choudhury ·
How This AI-Enabled Chatbot Radically Transformed Cancer Care Amid Pandemic
Sejuti Das ·
A Complete Learning Path To Web Scraping (With All Major Tools)
Mohit Maithani ·
Facebook’s Recently Released Voice Separation Technique SVoice - Complete Guide With Python Code
SVoice is Facebook Research’s newly achieved state-of-the-art speech separation technique for multiple voices speaking simultaneously in a single audio sequence
Jayita Bhattacharyya ·
Rethinking The Way We Do Machine Learning: An Engineering Perspective
Ram Sagar ·
Hands-on implementation of TF-IDF from scratch in Python
TF-IDF is a method which gives us a numerical weightage of words which reflects how important the particular word is to a document in a corpus. A corpus is a collection of documents. Tf is Term frequency, and IDF is Inverse document freque…
Vihaan Shah ·
Informer: LSTF(Long Sequence Time-Series Forecasting) Model
Mohit Maithani ·
This New AI Algorithm Can Master Games Without Being Told The Rules
Shraddha Goled ·
Interview With Aleksa Gordić, Machine Learning Engineer At Microsoft
Ram Sagar ·
Exploring ArtLine - To Create Line Art Portraits, Movie Posters & Cartoonize Images in Python
ArtLine uses deep learning algorithms to achieve fine quality line art portraits, movie posters and cartoonize images.
Jayita Bhattacharyya ·
Can Neural Rendering Solve The Long Standing Challenges In Computer Graphics
Ram Sagar ·
Guide To MitoSheets: Harnessing Power Of Spreadsheets In Python
Rithwik Chhugani ·
Yoshua Bengio Proposes New Inductive Biases to Augment Deep Learning
Ambika Choudhury ·
How A “Crazy Idea” Changed The Way We Do Machine Learning: NeurIPS Test Of Time Award Winner
Ram Sagar ·
Guide to Time Series Forecasting using Tensorflow Core
Mohit Maithani ·
Guide To VIBE: Video Inference for 3D Human Body Pose and Shape Estimation
VIBE - Video Inference for 3D Human Body Pose and Shape Estimation. It uses CNNs, RNNs(GRU) and GANs along with a self-attention layer to achieve its state-of-the-art results.
Jayita Bhattacharyya ·
Guide to Pytorch Time-Series Forecasting
Pytorch Forecasting is a framework made on top of PyTorch Light used to ease time series forecasting with the help of neural networks for real-world use-cases.
Mohit Maithani ·
TorchIO - A PyTorch Library Using Patch-based Learning For Medical Imaging
TorchIO is a PyTorch based deep learning library written in Python for medical imaging. It is used for 3D medical image loading, preprocessing, augmenting, and sampling.
Jayita Bhattacharyya ·