AltaThe Art of Literary Text Analysis
Stars: ✭ 145 (-2.03%)
TextbookPrinciples and Techniques of Data Science, the textbook for Data 100 at UC Berkeley
Stars: ✭ 145 (-2.03%)
SegawareSegmentation-Aware Convolutional Networks Using Local Attention Masks
Stars: ✭ 146 (-1.35%)
Deepschool.ioDeep Learning tutorials in jupyter notebooks.
Stars: ✭ 1,780 (+1102.7%)
CiteomaticA citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.
Stars: ✭ 145 (-2.03%)
Machinelearning AzRepositorio del Curso de Machine Learning de la A a la Z con R y Python
Stars: ✭ 144 (-2.7%)
Siamese NetworksFew Shot Learning by Siamese Networks, using Keras.
Stars: ✭ 146 (-1.35%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-1.35%)
PyengPython for engineers
Stars: ✭ 144 (-2.7%)
Testbook🧪 📗 Unit test your Jupyter Notebooks the right way
Stars: ✭ 146 (-1.35%)
Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (+8132.43%)
Deep LearningDeep Learning Application Examples
Stars: ✭ 147 (-0.68%)
SqlcellSQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.
Stars: ✭ 145 (-2.03%)
DpcaAn implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Stars: ✭ 146 (-1.35%)
Recurrent neural networkThis is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
Stars: ✭ 145 (-2.03%)
Data structures and algorithms in python📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
Stars: ✭ 147 (-0.68%)
RlossRegularized Losses (rloss) for Weakly-supervised CNN Segmentation
Stars: ✭ 145 (-2.03%)
Applied Dl 2018Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
Stars: ✭ 146 (-1.35%)
Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-2.03%)
Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
Stars: ✭ 144 (-2.7%)
Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
Stars: ✭ 144 (-2.7%)
EssentiaC++ library for audio and music analysis, description and synthesis, including Python bindings
Stars: ✭ 1,985 (+1241.22%)
Deep DeepAdaptive crawler which uses Reinforcement Learning methods
Stars: ✭ 145 (-2.03%)
Chess Alpha ZeroChess reinforcement learning by AlphaGo Zero methods.
Stars: ✭ 1,868 (+1162.16%)
Keras Trigger WordHow to do Real Time Trigger Word Detection with Keras | DLology
Stars: ✭ 147 (-0.68%)
Deeplearning ImageIntroduction to Deep Learning for Image Recognition
Stars: ✭ 147 (-0.68%)
Deeplearningbookcode Volume1Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner
Stars: ✭ 146 (-1.35%)
Python4dsJupyter Notebooks used on my DataScience projects
Stars: ✭ 147 (-0.68%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-4.05%)
Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
Stars: ✭ 146 (-1.35%)
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (-2.03%)
Introduccion a python Curso onlineRepositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.
Stars: ✭ 145 (-2.03%)
Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
Stars: ✭ 147 (-0.68%)
Pachong一些爬虫的代码
Stars: ✭ 147 (-0.68%)
BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
Stars: ✭ 146 (-1.35%)
Bertem论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
Stars: ✭ 146 (-1.35%)