Tesseract Open Source OCR Engine (main repository)
-
Updated
Dec 21, 2024 - C++
#
lstm
Here are 6,302 public repositories matching this topic...
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
python nlp svm scikit-learn sklearn regression logistic dnn lstm pca rnn deeplearning kmeans adaboost apriori fp-growth svd naivebayes mahchine-leaning recommendedsystem
-
Updated
Nov 12, 2024 - Python
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
python machine-learning information-retrieval data-mining ocr deep-learning image-processing cnn pytorch lstm optical-character-recognition crnn scene-text scene-text-recognition easyocr
-
Updated
Sep 24, 2024 - Python
A neural network that transforms a design mock-up into a static website.
machine-learning deep-learning jupyter keras jupyter-notebook cnn lstm floydhub seq2seq cnn-keras encoder-decoder
-
Updated
Aug 16, 2024 - HTML
Machine learning, in numpy
machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing
-
Updated
Oct 29, 2023 - Python
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
deep-learning transformers pytorch transformer lstm rnn gpt language-model attention-mechanism gpt-2 gpt-3 linear-attention rwkv chatgpt
-
Updated
Dec 24, 2024 - Python
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
deep-learning monte-carlo trading-bot lstm stock-market stock-price-prediction seq2seq learning-agents stock-price-forecasting evolution-strategies lstm-sequence stock-prediction-models deep-learning-stock strategy-agent monte-carlo-markov-chain
-
Updated
Apr 16, 2023 - Jupyter Notebook
Friendly machine learning for the web! 🤖
-
Updated
Oct 11, 2024 - JavaScript
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
tutorial pytorch transformer lstm gru rnn seq2seq attention neural-machine-translation sequence-to-sequence encoder-decoder pytorch-tutorial pytorch-tutorials encoder-decoder-model pytorch-implmention pytorch-nlp torchtext pytorch-implementation pytorch-seq2seq cnn-seq2seq
-
Updated
Jan 20, 2024 - Jupyter Notebook
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
nlp natural-language-processing tutorial sentiment-analysis word-embeddings transformers cnn pytorch recurrent-neural-networks lstm rnn fasttext bert sentiment-classification pytorch-tutorial pytorch-tutorials cnn-text-classification lstm-sentiment-analysis pytorch-nlp torchtext
-
Updated
Mar 27, 2024 - Jupyter Notebook
中文古诗自动作诗机器人，x炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！
-
Updated
Apr 7, 2024 - Python
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
machine-learning deep-learning neural-network tensorflow activity-recognition recurrent-neural-networks lstm rnn human-activity-recognition
-
Updated
Nov 6, 2022 - Jupyter Notebook
Tesseract Open Source OCR Engine (main repository)
-
Updated
Nov 22, 2024 - C++
Deep learning driven jazz generation using Keras & Theano!
-
Updated
May 29, 2019 - Python
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
audio deep-learning tensorflow paper end-to-end evaluation cnn lstm speech-recognition rnn automatic-speech-recognition feature-vector data-preprocessing phonemes timit-dataset layer-normalization rnn-encoder-decoder chinese-speech-recognition
-
Updated
Mar 24, 2023 - Python
List of papers, code and experiments using deep learning for time series forecasting
deep-neural-networks deep-learning time-series tensorflow prediction python3 pytorch recurrent-neural-networks lstm series-analysis forecasting-models lstm-neural-networks demand-forecasting series-forecasting sales-forecasting time-series-classification time-series-prediction time-series-forecasting series-classification forecasting-competitions
-
Updated
Mar 16, 2024 - Jupyter Notebook
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
nlp machine-learning tutorial computer-vision deep-learning time-series sentiment-analysis pytorch transformer lstm yolo face-recognition face-detection object-detection transfer-learning bert anomaly-detection time-series-forecasting coronavirus time-series-anomaly-detection
-
Updated
Jun 30, 2024 - Jupyter Notebook
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm
-
Updated
Mar 14, 2022 - Python
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
deep-neural-networks deep-learning time-series pytorch transformer lstm forecasting transfer-learning hacktoberfest time-series-analysis anomaly-detection time-series-forecasting time-series-regression state-of-the-art-models
-
Updated
Dec 23, 2024 - Python
Improve this page
Add a description, image, and links to the lstm topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lstm topic, visit your repo's landing page and select "manage topics."