legsidestrangle's repositories
Arrival-Movie-Live-Coding
Documents from a live coding session by Christopher Wolfram related to content from the 2016 film Arrival
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
Collab-projects
Step by step implementation of algorithms on different data sets
computer-vision-tutorial
Repository to help you get started with computer vision
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
course-v3
The 3rd edition of course.fast.ai - coming in 2019
cv-papers-with-code
Computer Vision Papers with Code in GitHub
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
faster_rcnn
Faster R-CNN
google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Hello_World-
Basic to learn github.
lazydata
lazydata: scalable data dependencies for python projects
legsidestrangle.github.io
ML Portfolio With Projects
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
mlcourse.ai
Open Machine Learning Course
Neural-Network-p5
Neural Network p5 example based on @makeyourownneuralnetwork
neural-style-painting
Implementing of the "A Neural Algorithm of Artistic Style"
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).
PlotNeuralNet
Latex code for making neural networks diagrams
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rl-algorithms
Reinforcement learning algorithms
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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
Minimal Jekyll theme for storytellers
yannpp
Yet another Neural Network in C++