abhilash1910/Deep_Reinforcement_Learning_Trading

Deep Reinforcement Learning for Trading

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Pradnya1208/Time-series-forecasting-using-Deep-Learning

The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.

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Jithsaavvy/Deploying-an-end-to-end-keyword-spotting-model-into-cloud-server-by-integrating-CI-CD-pipeline

The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker, cloud PaaS) by integrating CI/CD pipelines with automated tests and releases.

Language: PureBasic - Size: 7.83 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 6

LuluW8071/Automatic-Speech-Recognition-with-PyTorch

Real-Time ASR with CNN-BiLSTM: End-to-End Live Streaming Using PyTorch Lightning⚡

Language: Python - Size: 4.16 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 9 - Forks: 2

Mark-THU/load-point-forecast

load point forecast

Language: Jupyter Notebook - Size: 104 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

Jason-Oleana/image-to-sequence-prediction

The goal is to learn to generate the Scalable Vector Graphics (SVG) code correspondig to images of simple colored shapes. SVG is a markup language which is used to define vector graphics.

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aaaastark/hybrid-model-with-cnn-lstm-python

Hybrid Model with CNN and LSTM for VMD dataset using Python

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niravnb/Deep-learning-projects

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codiceSpaghetti/VoiceVibes

VoiceVibes presents a solution for speech emotion recognition, featuring six innovative AI model architectures designed to accurately categorize emotional expressions conveyed through speech.

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phamhoai366/EEG-signal-analysis-for-stress-studies

Detect stress use EEG signal and Deep learning

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k-chhajer/gaitanalysis Fork of rpandya5/gaitanalysis

Fall Detection using Gait Analysis w/ CNN-LSTM model (99.2% training and 92.7% test accuracy)

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ChubaaR/CNN-LSTM-ARAS-B

Hybrid CNN-LSTM model for activity recognition using ARAS B House sensor data. Combines CNN for spatial feature extraction and LSTM for temporal dependencies.

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yasty-sanchez/ADHD_fMRI_DL

This project uses CNN and CNN-LSTM models to classify ADHD from fMRI data, using pretrained weights from a CNN autoencoder (CNN-AE) for better feature extraction.

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DavideDevetak24/Steel_Market_Study_DL

The repository presents the notebooks and models used for my experimental thesis entitled: "Experimental Study of the Steel Market Through CNN-LSTM Deep Learning Models: Practical Applications for Cost Reduction in Industries"

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Spandan2308/Sea-Ice-Extent-forecasting-using-hybrid-LSTM

The Sea Ice Extent of 5 Arctic and Antarctic regions is forecasted using CNN+LSTM, Bidirectional LSTM and Standalone LSTM.

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KingT5M/NARENDRA-CONCURRENT-FAULT

A DEEP-REINFORCEMENT LEARNING MODEL FOR SIMULTANEOUS SCENARIOS

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sajjadhekmat/Stock-Prediction-using-CNN-LSTM

In this project the next day's close price of the Fameli stock in TSE will be predicted using CNN-LSTM model

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binaryvexjuiit/Affective-States-Detection

Detecting affective states using CNN-LSTM in MMA Dataset

Language: Python - Size: 147 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

joyeetadey/Violence-Detection-From-Videos

realtime violence detection from videos using cnn-lstm model

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SriSwathi25/RankingTopColleges

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nicholasRenninger/NeuralMooreMachine_Experiments

A docker environment and notebooks to experiment with the extraction of moore machines from RNN RL policies

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