spandyie Goto Github PK
Name: Spandan Mishra
Type: User
Company: Palo Alto Networks
Bio: PhD/ Data Scientist/ Algorithm Engineer/ Rock Climber / Aspiring Alpinist
Twitter: spandyie
Location: San Francisco
Spandan Mishra's Projects
a-pytorch-tutorial-to-object-detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
algs4
Repository for Princeton's Algorithms Class
arviz
Exploratory analysis of Bayesian models with Python
automatic-waffle
Genetic Algorithm library based on Mordern C++
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
awesome-bash
A curated list of delightful Bash scripts and resources.
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-mlops
A curated list of references for MLOps
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
awesome-very-deep-learning
A curated list of papers and code about very deep neural networks
bayesian-linear-regression
In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. When the regression model has errors that have a normal distribution, and if a particular form of prior distribution is assumed, explicit results are available for the posterior probability distributions of the model's parameters.
belgiantrafficsigns
We will cretae a L-Deep Neural Network to read traffic Signals
bitonic-array
3-SUM in quadratic time. Design an algorithm for the 3-SUM problem that takes time proportional to n2 in the worst case. You may assume that you can sort the n integers in time proportional to n2 or better.
caffe-tensorflow
Caffe models in TensorFlow
capsule_net_pytorch
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
carnd-vehicle-detection
Vehicle detection using YOLO in Keras runs at 21FPS
causalimpact
An R package for causal inference in time series
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
cnn_finetune
Fine-tune CNN in Keras
concept-to-clinic
ALCF Concept to Clinic Challenge
concrete_nlp_tutorial
An NLP workshop about concrete solutions to real problems
congressional-districts
Historic and current US Congressional districts as GeoJSON, versioned within Git
contribute-to-open-source
Learn the GitHub workflow by contributing code in a fun simulation project
cppbestpractices
Collaborative Collection of C++ Best Practices
crispy-lamp
Parse the stock data of S&P500 companies and display it on a streamlit webapp
cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
data-science-primer
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
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