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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
A game theoretic approach to explain the output of any machine learning model.
Instruct-tune LLaMA on consumer hardware
A course in reinforcement learning in the wild
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Technical Analysis Library using Pandas and Numpy
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Single Shot MultiBox Detector in TensorFlow
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
Tutorial on scikit-learn and IPython for parallel machine learning
Dual LSTM Encoder for Dialog Response Generation
Keras implementation of Deeplab v3+ with pretrained weights
Lecture notes and code for Machine Learning practical course on CMC MSU
A module for initiating the communist revolution in each of our python modules
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
Geospatial Raster support for Spark DataFrames
Smile detection with a deep convolutional neural net, with Keras.
Yandex SDA classes on deep learning. Version of year 2017
Solution for EEG Classification via Multiscale Convolutional Net coded for NeuroHack at Yandex.
Profiling and Improving the PyTorch Dataloader for high-latency Storage