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followers: 1.6K following: 57.4K repos: 2.4K gists: 0.0

Name: Bater.Makhabel

Type: User

Company: META4ALL

Bio: Software Engineer with A Passion for Innovation, Published Author, https://www.linkedin.com/in/batermj/

Twitter: batermj

Location: Abu Dhabi, UAE

Blog: WWW.META4ALL.COM

Bater.Makhabel's Projects

practical-deep-learning-applied-to-time-series

Practical Deep Learning resources for Time series analysis and forecasting

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt

practical_dl

DL course co-developed by HSE, YSDA and Skoltech

practical_rl

A course in reinforcement learning in the wild

practical_rl-1

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

practicalai

📚 A practical approach to learning and using machine learning.

practice-go

Practice Go: a collection of Go programming challenges

practice-python

Part of my daily plan for studying Python.

pragmatic-scala

Pragmatic Scala 中文版——《Scala实用指南》代码清单（包含 SBT 版本（切到sbt分支））

preciseroipooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

predict-next-purchase

Predict what a customer will buy next based on purchase history using automated feature engineering

predicting-nyc-demographics

predicting wealth in NYC from FourSquare check-in data

prestashop

PrestaShop offers a fully scalable open source ecommerce solution.

Pretrained Image & Video ConvNets for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, etc.

privacy

Library for training machine learning models with privacy for training data

prml

PRML algorithms implemented in Python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)