TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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 ;)

A game theoretic approach to explain the output of any machine learning model.

A guidance language for controlling large language models.

Jupyter Interactive Notebook

Swift for TensorFlow

From the basics to slightly more interesting applications of Tensorflow

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Useful functions, tutorials, and other Python-related things

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

InferSent sentence embeddings

Feature selector is a tool for dimensionality reduction of machine learning datasets

Efficient few-shot learning with Sentence Transformers

A curated list of awesome embedding models tutorials, projects and communities.

Tutorial on scikit-learn and IPython for parallel machine learning

BERT score for text generation

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Distributed deep learning on Hadoop and Spark clusters.

Easy pipelines for pandas DataFrames.

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

A series of machine learning tutorials for Torch7

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

Segment documents into coherent parts using word embeddings.

An easy to use open-source library for advanced Deep Learning and Natural Language Processing

Breze with all the stuff.

Collection of tools for bootstrapping Apache Ambari & deploying clusters