【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

👷 Build images with images

A machine learning tool that ranks strings based on their relevance for malware analysis.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

A collection of research papers on decision, classification and regression trees with implementations.

Convolutional Neural Network for 3D meshes in PyTorch

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

scikit-learn: machine learning in Python

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 ;)

Apache Superset is a Data Visualization and Data Exploration Platform

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

A collection of machine learning examples and tutorials.

Open Machine Learning Course

A curated list of data science blogs

Toturials coming with the "data science roadmap" picture.

📝 An awesome Data Science repository to learn and apply for real world problems.

📝 An awesome Data Science repository to learn and apply for real world problems.