luke-pritch
software engineer into javascript/typescript, creating useful interfaces for people
@adahealthToronto, Ontario, Canada
luke-pritch's Stars
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Rhymond/product-compare-react
React Example - Product Compare Page
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
chiraggude/awesome-laravel
A curated list of bookmarks, packages, tutorials, videos and other cool resources from the Laravel ecosystem
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ArduPilot/ardupilot
ArduPlane, ArduCopter, ArduRover, ArduSub source
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
soapyigu/LeetCode-Swift
Solutions to LeetCode by Swift
kodecocodes/swift-algorithm-club
Algorithms and data structures in Swift, with explanations!
JeanKossaifi/tensorly-notebooks
Tensor methods in Python with TensorLy
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
EbookFoundation/free-programming-books
:books: Freely available programming books
TheAlgorithms/Python
All Algorithms implemented in Python
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ClearTK/cleartk
Machine learning components for Apache UIMA
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
PaddlePaddle/book
Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
hunkim/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
darksigma/Fundamentals-of-Deep-Learning-Book
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
yohokuno/deeplearning
Python implementation of Deep Learning book
deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
freeCodeCamp/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.