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175 search results found

Probability ⭐ 4,028

Probabilistic reasoning and statistical analysis in TensorFlow

Ml Foundations ⭐ 2,224

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Hackermath ⭐ 1,339

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Causalml ⭐ 665

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Datascienceprojects ⭐ 604

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Bayesian_changepoint_detection ⭐ 597

Methods to get the probability of a changepoint in a time series.

Stats Maths With Python ⭐ 492

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

All Of Statistics ⭐ 479

Self-study on Larry Wasserman's "All of Statistics"

Robustness_metrics ⭐ 446

Basic Mathematics For Machine Learning ⭐ 418

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Distfit ⭐ 320

distfit is a python library for probability density fitting.

Discrete Math Python Scripts ⭐ 263

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

Lotteryprediction ⭐ 261

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Deeplearningwithtf2.0 ⭐ 227

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Rethinking Tensorflow Probability ⭐ 207

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Causality ⭐ 204

Rust Data Analysis ⭐ 193

Rust for data analysis encyclopedia (WIP).

Nn_compression ⭐ 189

Datascience_interview_questions ⭐ 181

My Solutions to 120 commonly asked data science interview questions.

Python For Probability Statistics And Machine Learning 2e ⭐ 172

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

Ml Training Camp ⭐ 170

Data Science Tutorial ⭐ 155

Code material for a data science tutorial

Deep Algotrading ⭐ 145

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Machine Learning Imbalanced Data ⭐ 141

Code repository for the online course Machine Learning with Imbalanced Data

Introspective ⭐ 136

Repo for the ML_Insights python package

Nn_calibration ⭐ 133

Calibration of Convolutional Neural Networks

Field Delineation ⭐ 125

Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.

Dse210_probability_statistics_python ⭐ 122

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

Stats 110 ⭐ 118

Pyimpetus ⭐ 106

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Quant Notes ⭐ 101

Quantitative Interview Preparation Guide, updated version here ==>

Deepcredit ⭐ 90

How to predict credit defaulting?

Statistics And Probability In Python ⭐ 84

Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"

Probability ⭐ 83

Applied Probability Theory for Everyone

100days Ml Code ⭐ 81

100天机器学习（翻译+ 实操）

An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

Prml_notes ⭐ 66

该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记，我用python实现了书中的一些实例，希望帮助感兴趣的人更好的理解

Vehicle Detection ⭐ 64

Detect vehicles in a video

Repository for SEN12MS related codes and utilities

Sigma.jl ⭐ 63

Sigma is a probabilistic programming environment implemented in Julia

Fattails ⭐ 62

Code and Notes for fat-tailed statistics.

All Of Statistics ⭐ 61

Solutions to Wasserman's 'All of Statistics'.

Deep Learningai ⭐ 61

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

Introduction To Discrete Mathematics For Computer Science Specialization ⭐ 60

[Coursera] Introduction to Discrete Mathematics for Computer Science Specialization

Undergraduate In Statistics ⭐ 59

Using Computer with your Statistics Major Course

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Semi Supervised Learning Gan ⭐ 52

Semi-supervised Learning GAN

Datascience365 ⭐ 47

Numerical_stats ⭐ 44

Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python

Basic Statistics With Python ⭐ 43

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

Machine_learning_from_scratch ⭐ 43

A place to hold various "from scratch" machine learning algorithms developed in Python as pedagogical tools.

Mathematics For Machine Learning And Data Science Specialization Coursera ⭐ 42

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Uncertainty_modeller ⭐ 41

Machine learning library for uncertainty estimation of black-box classification systems

Stochastic_normalizing_flows ⭐ 37

Stochastic Normalizing Flows

Validation of Exoplanet Signals using a Probabilistic Algorithm--- calculating false positive probabilities for transit signals

Introductiontoprobabilitypy ⭐ 34

Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition

Probandstats Pydatanyc2019 ⭐ 34

Introduction to Probability and Statistics

Bounding box augmentations for Pytorch

Mathematics_for_machine_learning ⭐ 32

Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.

Yolo_v3_from_scratch_colab ⭐ 29

Implementing YOLOV3 on google colab

Mnist_by_zip ⭐ 28

Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)

Abandittesting ⭐ 28

No Regrets: A deep dive comparison of bandits and A/B testing

Data Science Prep ⭐ 28

Problems from https://datascienceprep.com/

Confidentlearning Reproduce ⭐ 26

Official data release to reproduce Confident Learning paper results

Tensorflow Probability 100days ⭐ 26

100 Days of Experimenting with TensorFlow Probability

Mathematics For Machine Learning And Data Science Specialization ⭐ 25

Non-credit online course by DeepLearning.AI

Probability ⭐ 25

Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis

Bayesian_calibration ⭐ 24

Bayesian calibration using Tensorflow Probability

Vennabers ⭐ 24

Fast implementation of Venn-ABERS probabilistic predictors

Cnn Cells ⭐ 23

Cell detection using a convolutional neueral network

Teacher Student Training ⭐ 21

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Un General Debates ⭐ 20

Analysis and experiments on the UN General Debate corpus

Data Science Toolbox ⭐ 19

Examples and illustration of basic statistic concepts, probability distribution, Monte Carlo simulation, preprocessing and visualization techniques, and statistical testing.

Mir_book ⭐ 19

Support material for Music Information Retrieval by George Tzanetakis

Foundations of Machine Learning Course Materials.

The Science Of Uncertainty ⭐ 18

Introduction to Probability - The Science of Uncertainty

Hmm_for_autonomous_driving ⭐ 18

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

Mixture Density Networks ⭐ 17

An exploration of mixture density networks

Karpov_courses ⭐ 16

🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/

Hack University Data Science ⭐ 16

Hack University's [Data Science course](http://www.hackoregon.org/database-cohort) sponsored by [Hack Oregon](http://hackoregon.org)

Tiger Millionaire ⭐ 16

UFC Fight Predictor

Public notes and files for completed semesters of Aaryan Ajay Sharma studying in the Computer Science Dual Degree (Lateral Entry) program at International Institute of Information Technology, Hyderabad.

Chexpert ⭐ 16

CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet

Vehicle Detection ⭐ 15

Vehicle detection/tracking project using YOLO network

Data Scientist In Python ⭐ 15

This repository contains notes and projects of Data scientist track from dataquest course work.

Tfp Tutorial ⭐ 15

TensorFlow Probability Tutorial

Probability_and_statistics ⭐ 14

Course materials for PROBABILITY AND STATISTICS A/B

Cent Patates ⭐ 14

Using TensorFlow to win 65 time more in the French lottery. A TensorFlow 2.0 tutorial with some nice combinatorics and a get-rich-quick click-bait title

Minimal object-oriented implementation of basic Hidden Markov Model functionality

Class frequency estimation software package

Gammaalps ⭐ 14

A python code to calculate the conversion probability between photons and axions / axionlike particles

Order flow toxicity; Volume-Synchronized Probability of Informed Trading

Data Science ⭐ 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.

Dataquest ⭐ 12

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

Intel Scene Classification ⭐ 12

Solution of Intel scene classification problem | 95.4 % Accuracy | 5th rank

Soccer_analytics ⭐ 12

Spectral Gap Optimization of Parameters

Glow Realnvp Tutorial ⭐ 11

Glow and RealNVP with tensorflow 2.0 and tensorflow probability

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