7100 Open source projects that are alternatives of or similar to Bitcoin Price Prediction Using Lstm

High-quality Neural Networks for Computer Vision 😎

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

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Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

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A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

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Another attempt to use Deep-Learning in the financial markets

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🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

QA - Answer Selection (Rank candidate answers for a given question)

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

keras를 이용한 딥러닝 기초 학습

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Automatic trading bot (WIP)

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

A Multipurpose Library for Synthetic Time Series Generation in Python

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Singular Spectrum Analysis for time series forecasting in Python

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

An open source library for Fuzzy Time Series in Python

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RNN-LSTM that learns passwords from a starting list

Using LSTM network for time series forecasting

Recurrent Additive Networks for Tensorflow

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

bitcoin prediction algorithms

This is Andrew NG Coursera Handwritten Notes.

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

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These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Visualizing RNNs using the attention mechanism

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.