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Learn how to design, develop, deploy and iterate on production-grade ML applications.
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.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Data and code behind the articles and graphics at FiveThirtyEight
Companion webpage to the book "Mathematics For Machine Learning"
This repository contains implementations and illustrative code to accompany DeepMind publications
PyTorch code and models for the DINOv2 self-supervised learning method.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Public facing notes page
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Image restoration with neural networks but without learning.
this repository accompanies the book "Grokking Deep Learning"
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Visualizations for machine learning datasets
COCO API - Dataset @ http://cocodataset.org/
The Udacity open source self-driving car project
NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.
Efficient Image Captioning code in Torch, runs on GPU
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Create delightful software with Jupyter Notebooks
Repo for the Deep Reinforcement Learning Nanodegree program
Bonus materials, exercises, and example projects for our Python tutorials
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained