kheraAniruddh
NYU Courant MSCS alumnus. Works @ TikTok | Ex: PayPal. Deep Learning Enthusiast.
TikTokSan Jose
kheraAniruddh's Stars
InterviewMap/CS-Interview-Knowledge-Map
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.
zziz/pwc
This repository is no longer maintained.
automl/auto-sklearn
Automated Machine Learning with scikit-learn
yenchenlin/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
prasadgujar/low-level-design-primer
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
keyvanakbary/learning-notes
Notes on books I read, talks I watch, articles I study, and papers I love
floydhub/dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
L1aoXingyu/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
m2dsupsdlclass/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
ucbrise/clipper
A low-latency prediction-serving system
kaiwaehner/kafka-streams-machine-learning-examples
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
in28minutes/jpa-with-hibernate
Master JPA using Hibernate as the implementation. Learn the basics of JPA - entities, relationships, entity manager, annotations, JPQL and Criteria API. Take a step into the advanced world of JPA - caching, performance tuning(n + 1 queries), mapping inheritance hierarchies. Get a peek into the magic of Spring Data JPA & Spring Data Rest.
dasguptar/treelstm.pytorch
Tree LSTM implementation in PyTorch
GunhoChoi/Kind-PyTorch-Tutorial
Kind PyTorch Tutorial for beginners
jrosebr1/simple-keras-rest-api
A simple Keras REST API using Flask
in28minutes/first-steps-to-software-architect
How to start your journey towards software architecture?
leemengtw/cat-recognition-train
Train and deploy a cat vs dog image recognition model using TensorFlow
ContentSquare/ml-in-prod
Tutorial repo for the article "ML in Production"
joyoyoyoyoyo/emojipasta-topic-modeling
😅 A topic model of reddit.com/r/EmojiPasta trained with Spark and an LDA model (NSFW) - Trigger Warning: The r/emojipasta subreddit posts controversial content and anything I have crawled is to provide visibility of a topic modeling some of this controversial content. Unfortunately there is also discriminatory speech which must be called out!
joyoyoyoyoyo/machine-learning-cs165b-assignment4
📌 1. Compute the Mahalanobis distance from a centroid for a given set of training points. 2. Implement Radial Basis function (RBF) Gaussian Kernel Perceptron. 3. Implement a k-nearest neighbor (kNN) classifier
joyoyoyoyoyo/naive-bayes-movie-classification
🤖 Artificial Intelligence Naive Bayes Classifier Model for Movie Review Sentiment Analysis
sohilsshah91/Lymphedema-Patient-Clustering-Research
This project is a research focused project highlighting application of unsupervised Machine learning techniques in predicting Lymphedema disease without having knowledge about the symptoms or fields. Libraries Used: sklearn, pandas, numpy, matplotlib, sklearn. cluster KMeans and sklearn decomposition PCA.
joyoyoyoyoyo/lamport-logical-clocks-in-a-distributed-system
🌐 Implementation of Lamport Clocks 🕒 to Order Life Events in a Distributed System
joyoyoyoyoyo/Scala
All Algorithms implemented in Scala
kheraAniruddh/kafka-streams-machine-learning-examples
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.
kheraAniruddh/Low-Level-Design
kheraAniruddh/neural-style
Neural style in TensorFlow! :art:
kheraAniruddh/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
ShikhaSingh1/centavo
ShikhaSingh1/jpa-with-hibernate
Master JPA using Hibernate as the implementation. Learn the basics of JPA - entities, relationships, entity manager, annotations, JPQL and Criteria API. Take a step into the advanced world of JPA - caching, performance tuning(n + 1 queries), mapping inheritance hierarchies. Get a peek into the magic of Spring Data JPA & Spring Data Rest.