Amazon Sagemaker ExamplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+4217.01%)
KubeflowdojoRepository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
Stars: ✭ 110 (-25.17%)
Python Zero To Hero Beginners CourseMaterials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.
Stars: ✭ 22 (-85.03%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (+28.57%)
Yolo resnetImplementing YOLO using ResNet as the feature extraction network
Stars: ✭ 82 (-44.22%)
Lab WorkshopsMaterials for workshops on text mining, machine learning, and data visualization
Stars: ✭ 112 (-23.81%)
Deep DeepAdaptive crawler which uses Reinforcement Learning methods
Stars: ✭ 145 (-1.36%)
Deeplearningbookcode Volume1Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner
Stars: ✭ 146 (-0.68%)
EssentiaC++ library for audio and music analysis, description and synthesis, including Python bindings
Stars: ✭ 1,985 (+1250.34%)
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 (-0.68%)
Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
Stars: ✭ 144 (-2.04%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-3.4%)
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (-1.36%)
Digital video introductionA hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (+8188.44%)
DpcaAn implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Stars: ✭ 146 (-0.68%)
AltaThe Art of Literary Text Analysis
Stars: ✭ 145 (-1.36%)
Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
Stars: ✭ 147 (+0%)
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 (-1.36%)
SegawareSegmentation-Aware Convolutional Networks Using Local Attention Masks
Stars: ✭ 146 (-0.68%)
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 (-1.36%)
Keras Trigger WordHow to do Real Time Trigger Word Detection with Keras | DLology
Stars: ✭ 147 (+0%)
Recurrent neural networkThis is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
Stars: ✭ 145 (-1.36%)
Applied Dl 2018Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
Stars: ✭ 146 (-0.68%)
TextbookPrinciples and Techniques of Data Science, the textbook for Data 100 at UC Berkeley
Stars: ✭ 145 (-1.36%)
RlossRegularized Losses (rloss) for Weakly-supervised CNN Segmentation
Stars: ✭ 145 (-1.36%)
Siamese NetworksFew Shot Learning by Siamese Networks, using Keras.
Stars: ✭ 146 (-0.68%)
Machinelearning AzRepositorio del Curso de Machine Learning de la A a la Z con R y Python
Stars: ✭ 144 (-2.04%)
Testbook🧪 📗 Unit test your Jupyter Notebooks the right way
Stars: ✭ 146 (-0.68%)
Bertem论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
Stars: ✭ 146 (-0.68%)
Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-1.36%)
Bmw Labeltool LiteThis repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.
Stars: ✭ 145 (-1.36%)
Introduccion a python Curso onlineRepositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.
Stars: ✭ 145 (-1.36%)
Python4dsJupyter Notebooks used on my DataScience projects
Stars: ✭ 147 (+0%)
PyengPython for engineers
Stars: ✭ 144 (-2.04%)
Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
Stars: ✭ 144 (-2.04%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-0.68%)
Tf2 courseNotebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Stars: ✭ 1,826 (+1142.18%)
NbashotsNBA shot charts using matplotlib, seaborn, and bokeh.
Stars: ✭ 144 (-2.04%)
Deepschool.ioDeep Learning tutorials in jupyter notebooks.
Stars: ✭ 1,780 (+1110.88%)