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34 search results found
Virgilio
⭐
13,515
Your new Mentor for Data Science E-Learning.
Edward
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4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Probability
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4,028
Probabilistic reasoning and statistical analysis in TensorFlow
Ml Foundations
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2,224
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Hercules
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1,863
Gaining advanced insights from Git repository history.
Uncertainty Baselines
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1,324
High-quality implementations of standard and SOTA methods on a variety of tasks.
Edward2
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656
A simple probabilistic programming language.
Ai_all_resources
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647
A curated list of Best Artificial Intelligence Resources
Traceml
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490
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Machine_learning_tutorials
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421
Code, exercises and tutorials of my personal blog ! 📝
Machinelearning Deeplearning Code For My Youtube Channel
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311
The full collection of all codes for my Youtube Channel segregated as per topic.
Pyhf
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265
pure-Python HistFactory implementation with tensors and autodiff
Time Series Machine Learning
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220
Machine learning models for time series analysis
Deeplearning Notes
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194
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Prism Samplernn
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67
Neural sound synthesis with TensorFlow 2
Video_repres_mas
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62
code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
Deep Learningai
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61
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
Bigbio
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54
Maxsnippetmodel
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44
Statistical classifier for immune repertoires
Publications
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42
My publications on Medium
Swa Tf
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24
Stochastic Weight Averaging - TensorFlow implementation
Data Science Learning Paths
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22
Practical data science courses - from basic to intermediate
Data Science
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13
A repository to showcase the upskilling of self in theoretical & applied aspects of data science during the ongoing sabbatical of 23 months(Jan. 2022 - Nov 2023*) along with hand written notes. It's an "attempt" to pursue masters in data science using Internet as an open university.
Time_series_anomaly_detection_examples
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13
Several examples of anomaly detection algorithms for time series data.
Mdeeplearn
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10
📚 🍑 Machine Learning and Deep Learning with examples.
Datasetops
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10
Fluent dataset operations, compatible with your favorite libraries
Data Scribers
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9
{data scribers} is a collection of posts about data science. And unlike other content aggregating sites, this one encourages people to visit the blog's actual site.
Analysis
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8
Repo for practical data science problems approaches, including notebook demo and working scripts | #DS | #analysis
Regularized Rbm
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7
A regularized version of RBM for unsupervised feature selection.
Cheatsheets
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7
Here you find CheatSheets for Data Science Topics
Full Stack Data Science
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7
Full stack Data science : How to become a data scientist
Bayesian Stat Machine Learning
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5
"Bayesian Statistics & Machine Learning" Reading Group at Northwestern Statistics
Neural Probability Dist Sampler
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5
Training a network to sample from any probability distributions such as exponential distribution.
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