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jereliu
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Google Research
A game theoretic approach to explain the output of any machine learning model.
This repository contains implementations and illustrative code to accompany DeepMind publications
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Single Shot MultiBox Detector in TensorFlow
Fast and flexible AutoML with learning guarantees.
Python-based tools for document analysis and OCR
Repository for benchmarking graph neural networks
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
A simple probabilistic programming language.
Bayesian Deep Learning Benchmarks
Data and analysis for 'Machine Bias'
Attributing predictions made by the Inception network using the Integrated Gradients method
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising