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Data compression using LSTM in TensorFlow
PyTorch deep learning projects made easy.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
⚡ Time series forecasting, anomaly detection with LSTM autoencoders & compression of stock market time series, written in Tensorflow.
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
mockingbirdnest / zfp
Forked from LLNL/zfpLibrary for compressed numerical arrays that support high throughput read and write random access
stjordanis / tthresh
Forked from rballester/tthreshC++ compressor for multidimensional grid data using the Tucker decomposition
one-key installation to install gnuplot, sz, zfp, and z-checker, and complete the configuration automatically for the testing.
Efficient lossy compression algorithm for floating point data
ts826848 / zfp
Forked from mockingbirdnest/zfpLibrary for compressed numerical arrays that support high throughput read and write random access
Fast GPU error-bounded lossy compressor for floating-point data.
Error-bounded Lossy Data Compressor (for floating-point/integer datasets)
jpg, Jpeg Compression knowledge includes DCT, Zig Zag, Huffman Coding and Run Length Coding
Implementation of Autoencoder, DCT and DWT models for Seismic Data Compression.
A Qt C++ demo tool for the algorithms such as STA/LTA and energy ratio used in autmoatic microseismic event detection.
Ray tracing algorithm for one-way travel-time calculation in passive seismic or microseismic applications. Written in Python3.
The source codes are in MATLAB for microseismic location with stochastic algorithms (e.g. PSO, DE, and NA).
Precise travel time determination and localization of microseismic events in this PhD project. Clean data processing, robust Python algorithms, and interactive visualization tools for quick insights.
hpdps-group / cuSZ
Forked from szcompressor/cuSZA GPU accelerated error-bounded lossy compression for scientific data.
Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.
A GPU accelerated error-bounded lossy compression for scientific data.