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

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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 ;)

The fastai deep learning library

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A guidance language for controlling large language models.

Data and code behind the articles and graphics at FiveThirtyEight

This repository contains the source code for the paper First Order Motion Model for Image Animation

This repository contains demos I made with the Transformers library by HuggingFace.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A collection of pre-trained, state-of-the-art models in the ONNX format

COCO API - Dataset @ http://cocodataset.org/

The Udacity open source self-driving car project

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

[ICCV 2019] Monocular depth estimation from a single image

Materials for the Hugging Face Diffusion Models Course

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

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

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…

Easily compute clip embeddings and build a clip retrieval system with them

Efficient few-shot learning with Sentence Transformers

Datasets, tools, and benchmarks for representation learning of code.

The /llms.txt file, helping language models use your website

Simple UI for LLM Model Finetuning

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

Training PyTorch models with differential privacy

Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

Dask tutorial

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains