PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
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Aug 14, 2024 - Python
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recurrent-neural-network
Here are 124 public repositories matching this topic...
🌊 Numerically solving and backpropagating through the wave equation
time-series pytorch rnn differential-equations wave-equation recurrent-neural-network vowel-recognition
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Feb 8, 2020 - Python
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
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May 19, 2026 - Python
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.
deep-neural-networks deep-learning tensorflow cnn python3 handwritten-text-recognition ctc-loss recurrent-neural-network blstm iam-dataset crnn-tensorflow
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Dec 9, 2024 - Python
用Tensorflow实现的深度神经网络。
tensorflow convolutional-neural-network tsne deep-belief-network long-short-term-memory recurrent-neural-network stacked-autoencoder stacked-sparse-autoencoder stacked-denoising-autoencoders
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Aug 15, 2022 - Python
[IEEE TGRS 2020] Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
python deep-learning tensorflow cnn remote-sensing lstm convolutional-neural-network change-detection recurrent-neural-network lidar-data heterogeneous-image
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Jul 10, 2024 - Python
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
reinforcement-learning pytorch continuous-control actor-critic rdpg recurrent-neural-network off-policy rtd3 rsac
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Nov 21, 2023 - Python
⚡ Create handwritten documents from text with a Neural Network!
machine-learning desktop-application handwriting-synthesis handwriting-recognition recurrent-neural-network generative-ai
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Jan 30, 2025 - Python
Time series forecasting
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Jan 2, 2019 - Python
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
python opencv cnn python3 pytorch generative-adversarial-network gan convolutional-neural-networks gans ssim super-resolution psnr srgan sisr cnns recurrent-neural-network video-super-resolution adjacent-frames frame-recurrence frvsr-gan
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Jun 21, 2022 - Python
Implementation of Liquid Nets in Pytorch
machine-learning recurrent-neural-networks artificial-intelligence attention-mechanism attention-is-all-you-need recurrent-neural-network liquidnets
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May 12, 2026 - Python
Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.
deep-neural-networks deep-learning temperature-monitoring convolutional-neural-networks pmsm electrical-engineering recurrent-neural-network electric-drive
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Jun 16, 2021 - Python
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
machine-learning tensorflow linear-regression scikit-learn machine-learning-algorithms supervised-learning classification logistic-regression support-vector-machine softmax-regression binary-classification nearest-neighbours-classifier multilayer-perceptron recurrent-neural-network
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Mar 24, 2023 - Python
Character Embeddings Recurrent Neural Network Text Generation Models
deep-learning neural-network mxnet chainer tensorflow keras text-generation pytorch character-embeddings long-short-term-memory recurrent-neural-network
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May 26, 2026 - Python
A Language Classifier powered by Recurrent Neural Network implemented in Python without AI libraries. AI from scratch.
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Sep 7, 2021 - Python
A Python library for Continual Inference Networks in PyTorch
machine-learning deep-neural-networks deep-learning efficiency cnn pytorch neural-networks convolutional-neural-networks recurrent-neural-network continual-inference
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Mar 15, 2025 - Python
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
deep-neural-networks deep-learning autoencoder raytracing siggraph denoising recurrent-neural-network
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Mar 11, 2019 - Python
Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
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Aug 26, 2021 - Python
PyTorch based autoencoder for sequential data
lstm autoencoder dimensionality-reduction representation-learning recurrent-neural-network lstm-neural-network
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Oct 29, 2020 - Python
Implement layer normalization GRU in pytorch
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Apr 8, 2026 - Python
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