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A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Google Research
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 ;)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Data and code behind the articles and graphics at FiveThirtyEight
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
This repository contains the source code for the paper First Order Motion Model for Image Animation
llama3 implementation one matrix multiplication at a time
Your new Mentor for Data Science E-Learning.
Companion webpage to the book "Mathematics For Machine Learning"
This repository contains implementations and illustrative code to accompany DeepMind publications
PRML algorithms implemented in Python
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! W…
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Code release for NeRF (Neural Radiance Fields)
PyTorch code and models for the DINOv2 self-supervised learning method.
TensorFlow Tutorials with YouTube Videos
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
this repository accompanies the book "Grokking Deep Learning"
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A unified framework for 3D content generation.