There are 14 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
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
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.)
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] Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
Time series forecasting
⚡ Create handwritten documents from text with a Neural Network!
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
Character Embeddings Recurrent Neural Network Text Generation Models
A Language Classifier powered by Recurrent Neural Network implemented in Python without AI libraries. AI from scratch.
Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.
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
Ryan's contributions to the Comma.ai speed challenge
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
Recognize the American Sign Language in a video stream and translate it to American word by word.
Lipschitz Recurrent Neural Networks
Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math
Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network
Recurrent neural network for forecasting solar irradiance :sunny:
Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
Нейронная сеть для восстановления пунктуации на русском языке.