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Lstm Python Packages

Python packages with the GitHub topic lstm. Sorted by relevance, with stars and monthly downloads.
jaidedai
easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

2.8M 29K 4K
PINTO0309
onnx2tf

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

1.5M 953 99
appeler
ethnicolr

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

48K 249 62
mikekeith52
scalecast

The practitioner's forecasting library

6K 352 40
earthai-tech
base-attentive

Modular Multi-Backend Encoder-Decoder Architecture for Probabilistic Time Series Forecasting

3K 1 0
JosefAlbers
phi-3-vision-mlx

Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon

3K 276 21
lennymalard
melpy

A NumPy-based deep learning library for building neural networks. It features an automatic differentiation engine and supports training architectures like LSTM, CNN, and FNN.

3K 4 0
tcsvn
pyadlml

Sklearn flavored library containing numerous Activity of Daily Livings datasets, preprocessing methods, visualizations and models.

2K 12 11
chimera0
accelbrainbeat

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

2K 325 91
TheWelcomer
morphseg

An efficient and easy-to-use morpheme segmentation library

2K 2 0
waico
tsad

Time Series Analysis for Simulation of Technological Processes

1K 57 10
ddbourgin
numpy-ml

Machine learning, in numpy

1K 16K 4K
accel-brain
pysummarization

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

1K 325 91
accel-brain
pyqlearning

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

1K 325 91
ari-dasci
tsfedl

Time Series Feature Extraction using Deep Learning

984 65 10
chimera0
pydbm

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

974 325 91
MarcoMeter
memory-gym

A gym that contains the memory benchmarks Mortar Mayhem, Mystery Maze and Searing Spotlights

920 113 3
CSLukeW
mlproto

Modular Prototyping Tool for LSTM Machine Learning Models

846 0 0
jcamiloangarita
stocker

Stock Price Prediction

832 114 51
ashishpapanai
stockdl

Predicts the Gross Yield, Annual Yield and Net Yield of a user given stock ticker.

791 36 12
OverLordGoldDragon
see-rnn

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

677 182 20
accel-brain
accel-brain-base

accel-brain-base is a basic library of the Deep Learning for rapid development at low cost. This library makes it possible to design and implement deep learning, which must be configured as a complex system, by combining a plurality of functionally differentiated modules such as a Deep Boltzmann Machines(DBMs), an Auto-Encoder, an Encoder/Decoder based on Long Short-Term Memory(LSTM), a Convolutional Auto-Encoder(CAE), and Transformer.

658 325 91
FlashTek
kulc

Keras Utility & Layer Collection.

611 62 15
FateMurphy
ceemdan-lstm

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

602 297 51
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