There are 11 repositories under recurrent-neural-network topic.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
C++ Implementation of PyTorch Tutorials for Everyone
🌊 Numerically solving and backpropagating through the wave equation
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images
用Tensorflow实现的深度神经网络。
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
[IEEE TGRS 2020] Official Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Time series forecasting
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
Character Embeddings Recurrent Neural Network Text Generation Models
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
A Language Classifier powered by Recurrent Neural Network implemented in Python without AI libraries. AI from scratch.
Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactive-reconstruction-monte-carlo-image-sequences-using-recurrent-denoising
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
A Python library for Continual Inference Networks in PyTorch
PyTorch based autoencoder for sequential data
Ryan's contributions to the Comma.ai speed challenge
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network
Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
Lipschitz Recurrent Neural Networks
Recurrent neural network for forecasting solar irradiance :sunny:
Code for EMNLP 2019 paper "Modeling Multi-Action Policy for Task-Oriented Dialogues"
Нейронная сеть для восстановления пунктуации на русском языке.
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
Bitcoin Price Prediction using Recurrent Neural Networks
Pytorch implementation of Markov RNNs
Implementation of Regression Models on Navigation with IMUs.