harshithbelagur
Software Engineering, Full Stack Development, Data Science, Machine Learning, Natural Language Processing
Columbia UniversityNew York
Pinned Repositories
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aml-project
NBA Game Result Prediction
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
boston_airbnb_analysis
Data-Science
dbproject
Basic database design along with its implementation on SQL for an Oracle Database
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
fraud_detection
Kaggle IEEE Fraud Detection Dataset
Neural-Machine-Translation
Implementation of Bahdanau Attention
ResNet
Clean, scalable and easy to use ResNet implementation in Pytorch
harshithbelagur's Repositories
harshithbelagur/Neural-Machine-Translation
Implementation of Bahdanau Attention
harshithbelagur/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
harshithbelagur/aml-project
NBA Game Result Prediction
harshithbelagur/Data-Science
harshithbelagur/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
harshithbelagur/ResNet
Clean, scalable and easy to use ResNet implementation in Pytorch
harshithbelagur/docker-react
harshithbelagur/ERNIE
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
harshithbelagur/Face-Detection
harshithbelagur/Facial-Recognition
OpenCV
harshithbelagur/GPT2-Implementation
harshithbelagur/harshithbelagur.github.io
harshithbelagur/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
harshithbelagur/keras
Deep Learning for humans
harshithbelagur/lssp-parkinsons
harshithbelagur/medllama
harshithbelagur/ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
harshithbelagur/multi-k8s
harshithbelagur/mutli-docker
harshithbelagur/neural-network-gpu-performance-analysis
harshithbelagur/node-weather-app
harshithbelagur/OpenCV-Social-Distancing-Detector
harshithbelagur/Parallel-Programming
CS361 - Parallel Programming
harshithbelagur/pegasus
harshithbelagur/ProphetNet
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training https://arxiv.org/pdf/2001.04063.pdf
harshithbelagur/Reactivities
harshithbelagur/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
harshithbelagur/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
harshithbelagur/training-operator
Distributed ML Training and Fine-Tuning on Kubernetes
harshithbelagur/tutorials
PyTorch tutorials.