e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
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Updated
Jul 9, 2022 - Python
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Handwriting Synthesis and Prediction - PyTorch Implementation
Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Implementation of a Hierarchical Mamba as described in the paper: "Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling"
pretrained transformer and embeddings language models
A simple series of programs to train gated recurrent neural networks with PyTorch and generate text based on them.
Speech recognition project on Keyword Spotting (KWS) using Recurrent Neural Networks (RNNs)
Implementation of a modular, high-performance, and simplistic mamba for high-speed applications
The repository contains the codes for the generation of enhancer sequences using RNN and embedding concepts.
CS224n : Natural Language Processing with Deep Learning Assignments, Winter 2017, Stanford University.
Explores language production using recurrent neural networks and distributed semantic representations.
Sentiment analysis and prediction project based on a Recurrent Neural Network Model (RNN) that can read in some text and make a prediction about the sentiment of that text.
Example project of LSTM in Keras for google stocks prediction.
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