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

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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

A guidance language for controlling large language models.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Kolmogorov Arnold Networks

Free MLOps course from DataTalks.Club

Official inference library for Mistral models

Official Code for Stable Cascade

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

The Udacity open source self-driving car project

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Scenarios, tutorials and demos for Autonomous Driving

pytorch implementation of openpose including Hand and Body Pose Estimation.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Python interactive dashboards for learning data science

An NLP workshop about concrete solutions to real problems

Notebooks and various random fun

Some Python Implementations of the Kalman Filter

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

A python library for time-series smoothing and outlier detection in a vectorized way.

Data Analysis Baseline Library

Proposes neural networks that can generate animation of virtual characters for different actions.

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly …