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由淺入深的深度學習資源 Collection of deep learning materials for everyone

AI比赛相关信息汇总

Building Convolutional Neural Networks From Scratch using NumPy

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Quiz & Assignment of Coursera

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

《python数据分析与挖掘实战》项目实践及拓展

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

🏖TagEditor - Annotation tool for spaCy

【运筹OR帷幄|数据科学】pandas教程系列电子书

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Word2Vec models with Twitter data using Spark. Blog:

CNN 1D vs 2D audio classification

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Ways of doing Data Science Engineering and Machine Learning in R and Python

danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

用户贷款风险预测

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

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 ;)

Easy pipelines for pandas DataFrames.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

📘 The interactive computing suite for you! ✨

All course materials for the Zero to Mastery Machine Learning and Data Science course.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

🎓 Jupyter notebooks from UFC data science course

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Temporary home for fastai v2 while it's being developed

Evaluation of the CNN design choices performance on ImageNet-2012.

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

The Hitchhiker's Guide to Data Science for Social Good

Next RecSys Library

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

The "Python Machine Learning (2nd edition)" book code repository and info resource

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High-efficiency floating-point neural network inference operators for mobile, server, and Web

SincNet is a neural architecture for efficiently processing raw audio samples.

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Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

🍧 A repository that contains courses I have taken on DataCamp

ETL with Python - Taught at DWH course 2017 (TAU)

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Disease Prediction based on Symptoms.

📢 Ready to learn or review your knowledge!