ammesatyajit

Pinned Repositories

bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Language:Python0 0 00
hierarchical-minibatch-kmeans
An implementation of hierarchical minibatch k-means.
Language:Python8 1 10
optimus-prime
A real-time trained transformer on custom data
Language:Jupyter Notebook00
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Language:Jupyter Notebook0 0 00
VideoBERT
Using VideoBERT to tackle video prediction
Language:Python120 2 1014

ammesatyajit's Repositories

ammesatyajit/VideoBERT
Using VideoBERT to tackle video prediction
Language:Python120 2 1014
ammesatyajit/hierarchical-minibatch-kmeans
An implementation of hierarchical minibatch k-means.
Language:Python8 1 10
ammesatyajit/bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Language:Python0 0 00
ammesatyajit/optimus-prime
A real-time trained transformer on custom data
Language:Jupyter Notebook00
ammesatyajit/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Language:Jupyter Notebook0 0 00