Pinned Repositories
cloud-ml-examples-1
cuml
cuML - RAPIDS Machine Learning Library
hpo
Sentiment-Analysis
Sentiment Analysis using Python
Sentiment-Analysis-on-Twitter-data
Performing sentiment analysis on tweets obtained from twitter.
Sub-modular-Optimization
Greedy and Lazy Greedy Sub Modular Optimisation
cudf
cuDF - GPU DataFrame Library
Nanthini10's Repositories
Nanthini10/Sub-modular-Optimization
Greedy and Lazy Greedy Sub Modular Optimisation
Nanthini10/cloud-ml-examples-1
Nanthini10/cuml
cuML - RAPIDS Machine Learning Library
Nanthini10/hpo
Nanthini10/automate-move-files
A simple python program to move the files from Downloads folder into appropriate subfolder elsewhere. It's useful to declutter the Downloads folder and can help save a lot of time.
Nanthini10/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Nanthini10/awesome-text-summarization
The guide to tackle with the Text Summarization
Nanthini10/azure-example
Optuna + RAPIDS on Azure
Nanthini10/azureml-examples
Official community-driven Azure Machine Learning Examples, tested with GitHub Actions
Nanthini10/build-your-own-x
🤓 Build your own (insert technology here)
Nanthini10/gbm-bench
A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.
Nanthini10/integration
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
Nanthini10/interpret
Fit interpretable models. Explain blackbox machine learning.
Nanthini10/interpret-community
The Interpret Community extends Interpret repo with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Nanthini10/K-Means-on-Yahoo-Click-log
The project is mainly to demonstrate the performance in terms of convergence for Random Initialisation and K++ for K-Means Algorithm.
Nanthini10/metaflow
Build and manage real-life data science projects with ease.
Nanthini10/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
Nanthini10/notebooks-contrib
RAPIDS Community Notebooks
Nanthini10/optuna
A hyperparameter optimization framework
Nanthini10/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
Nanthini10/pytext
A natural language modeling framework based on PyTorch
Nanthini10/pytorch-ssim
pytorch structural similarity (SSIM) loss
Nanthini10/raft
Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML
Nanthini10/raytune
Nanthini10/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Nanthini10/synthetic-data
Nanthini10/Tensor-Flow-Basics
Learning the basics of Tensor Flow and understanding the how to use the different utilities available in Tensor Flow by following the tutorials available on TensorFlow and playing around with the details and observing its effects!
Nanthini10/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Nanthini10/xfeat
Flexible Feature Engineering & Exploration Library using GPUs and Optuna.
Nanthini10/yelp-recommendation
Using the Yelp dataset to predict the review a customer will leave for a business.