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curiousily /Deep-Learning-For-Hackers

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Star1.1k

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

python machine-learning deep-learning sentiment-analysis tensorflow keras artificial-intelligence neural-networks object-detection jupyter-notebooks autoencoders tensorflow-tutorial bert image-augmentation anomaly-detection time-series-classification time-series-forecasting lstms intent-recognition

UpdatedApr 23, 2020
Jupyter Notebook

ArrasL /LRP_for_LSTM

Star226

Layer-wise Relevance Propagation (LRP) for LSTMs.

recurrent-neural-networks interpretability xai lstms

UpdatedApr 24, 2020
Python

perseus784 /Vehicle_Collision_Prediction_Using_CNN-LSTMs

Star153

Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.

python tensorflow cnn collision-detection lstm action-recognition tensorflow-examples carla cnn-lstm lstms scene-understanding carla-simulator time-distributed image-series-prediction autopilot-script vehicle-collision-prediction

UpdatedMar 26, 2024
Python

dido1998 /Recurrent-Independent-Mechanisms

Star101

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

deep-learning pytorch recurrent-networks attention rim generalization lstms grus

UpdatedJan 13, 2022
Python

crypto-code /Stock-Market

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Stock Market Prediction & Trading Bot using AI

agent neural-network trading-bot stock-market prediction-algorithm lstms

UpdatedJul 18, 2020
Python

MrinmoiHossain /Udacity-Deep-Learning-Nanodegree

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The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

nlp machine-learning udacity deep-learning sentiment-analysis neural-network pytorch recurrent-neural-networks generative-adversarial-network style-transfer rnn nanodegree convolutional-networks convolutional-neural-networks transfer-learning gans udacity-nanodegree long-short-term-memory-models lstms

UpdatedAug 23, 2022
Jupyter Notebook

AryanNanda17 /NonStop-Lofi-Vibe-Generator

Star46

threejs machine-learning ai deep-learning hacktoberfest mern-stack lstms vaes music-experience

UpdatedApr 28, 2025
JavaScript

NotVinay /karaokey

Star42

Karaokey is a vocal remover that automatically separates the vocals and instruments. A deep learning model based on LSTMs has been trained to tackle the source separation. The model learns the particularities of music signals through its temporal structure.

flask machine-learning recurrent-neural-networks lstm karaoke audio-processing source-separation lstms pytroch audio-source-separation music-separation pytorch-rnn pytorch-lstm karaoke-maker