Applied Dl 2018Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
Stars: ✭ 146 (-1.35%)
ReadataPython数据分析实战项目汇总~
Stars: ✭ 134 (-9.46%)
FastdocCreate publication-quality books from Jupyter notebooks
Stars: ✭ 134 (-9.46%)
DataminingnotebooksThis is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
Stars: ✭ 133 (-10.14%)
Book This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
Stars: ✭ 141 (-4.73%)
Deep ListeningDeep Learning experiments for audio classification
Stars: ✭ 133 (-10.14%)
19 udacity dsaData Structures & Algorithms Nanodegree Program from Udacity
Stars: ✭ 140 (-5.41%)
Siamese NetworksFew Shot Learning by Siamese Networks, using Keras.
Stars: ✭ 146 (-1.35%)
Ml ClassMachine learning lessons and teaching projects designed for engineers
Stars: ✭ 1,743 (+1077.7%)
Data Structure And Algorithm Using PythonIn computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. (Using Python 3)
Stars: ✭ 141 (-4.73%)
Automatedstocktrading Deepq LearningEvery day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Stars: ✭ 133 (-10.14%)
BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
Stars: ✭ 146 (-1.35%)
LmkorPretrained Language Models for Korean
Stars: ✭ 140 (-5.41%)
UnetU-Net Biomedical Image Segmentation
Stars: ✭ 144 (-2.7%)
Hep mlMachine Learning for High Energy Physics.
Stars: ✭ 133 (-10.14%)
Pysankeycreate sankey diagrams with matplotlib
Stars: ✭ 140 (-5.41%)
Ml riskmanagementShort Course - Applied Machine Learning for Risk Management
Stars: ✭ 132 (-10.81%)
Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
Stars: ✭ 132 (-10.81%)
Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Stars: ✭ 132 (-10.81%)
Face RecognitionFace recognition and its application as attendance system
Stars: ✭ 143 (-3.38%)
DocsMindSpore document
Stars: ✭ 132 (-10.81%)
Attic ClimateMirror of Apache Open Climate Workbench
Stars: ✭ 131 (-11.49%)
PopmusicmakerPop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is currently down due to costs incurred.
Stars: ✭ 140 (-5.41%)
BreakthroughUC Berkeley's software and documentation for Breakthrough Listen data
Stars: ✭ 131 (-11.49%)
Bertem论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
Stars: ✭ 146 (-1.35%)
GpqA collection of tools for mining government data
Stars: ✭ 136 (-8.11%)
VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
Stars: ✭ 148 (+0%)
Deeplearning ImageIntroduction to Deep Learning for Image Recognition
Stars: ✭ 147 (-0.68%)
Torchtext Summarytorchtext使用总结,从零开始逐步实现了torchtext文本预处理过程,包括截断补长,词表构建,使用预训练词向量,构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.
Stars: ✭ 142 (-4.05%)