PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
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Updated
Sep 22, 2023 - Python
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
🌊 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.
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。
[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
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
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
A Python library for Continual Inference Networks in PyTorch
PyTorch based autoencoder for sequential data
Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.
Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
Source code for "A Lightweight Recurrent Network for Sequence Modeling"
Lipschitz Recurrent Neural Networks
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