saranshmanu's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
coder/code-server
VS Code in the browser
sindresorhus/awesome-nodejs
:zap: Delightful Node.js packages and resources
react-boilerplate/react-boilerplate
🔥 A highly scalable, offline-first foundation with the best developer experience and a focus on performance and best practices.
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
mcollina/autocannon
fast HTTP/1.1 benchmarking tool written in Node.js
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
fchollet/deep-learning-models
Keras code and weights files for popular deep learning models.
hagopj13/node-express-boilerplate
A boilerplate for building production-ready RESTful APIs using Node.js, Express, and Mongoose
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
susanli2016/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
conradoqg/naivecoin
A cryptocurrency implementation in less than 1500 lines of code
ucaiado/QLearning_Trading
Learning to trade under the reinforcement learning framework
n3a9/google-foobar
My Google Foo Bar Challenges 🤓 🧮
ChintanTrivedi/DeepGamingAI_FIFARL
Using Reinforcement Learning to play FIFA
ipfs-shipyard/ipfs-geoip
geoip lookup over DAG-CBOR dataset loaded from IPFS
Chinmayrane16/Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
TSonono/collaborative-filtering
Recommendation engine based on collaborative filtering
IEEE-VIT/techloop-ml-plus
Archives and Tasks for ML+ sessions
maruware/recommendationRaccoon
A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.
mdh266/RecommenderSystems
Recommender Systems and Collaborative Filtering
s20ai/plasma
A simple tool for building and managing ML workflows.
saranshmanu/ivy-hacks-2020
Using Blockchain based solution to tackle CoVID vaccine distribution in India and other developing nations around the world