Learn how to develop, deploy and iterate on production-grade ML applications.

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

Google Research

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

AI-Powered Semantic Photo Search for the Command Line

Companion webpage to the book "Mathematics For Machine Learning"

Python code for "Probabilistic Machine learning" book by Kevin Murphy

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Deep Learning for humans

An educational resource to help anyone learn deep reinforcement learning.

On-device streaming speech-to-text engine powered by deep learning

An automatic beatmap generator using Tensorflow / Deep Learning.

Scientific computing in Lean 4

Lean 3's obsolete mathematical components library: please use mathlib4

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

Машинное обучение на ФКН ВШЭ

A latent text-to-image diffusion model

Neural Networks: Zero to Hero

unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"

📝 Подборка ресурсов по машинному обучению

Implementation of the first paper on word2vec

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

Handwriting Synthesis with RNNs ✏️

Editing Models with Task Arithmetic

Port of OpenAI's Whisper model in C/C++

Robust Speech Recognition via Large-Scale Weak Supervision

Inference code for Llama models

The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions