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conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

course-v3 icon course-v3

The 3rd edition of course.fast.ai - coming in 2019

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dnc icon dnc

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

knet.jl icon knet.jl

Koรง University deep learning framework.

lazydata icon lazydata

lazydata: scalable data dependencies for python projects

mit-deep-learning icon mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

nim icon nim

Nim is a compiled, garbage-collected systems programming language with a design that focuses on efficiency, expressiveness, and elegance (in that order of priority).

pomegranate icon pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

reinforcement-learning icon reinforcement-learning

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

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tale icon tale

Minimal Jekyll theme for storytellers

yannpp icon yannpp

Yet another Neural Network in C++

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