Shivangi Parashar's repositories
Object-Detection-with-YOLO-V3
Remote sensing images object detection.
Data-Preparation-for-ML
This repository contains important techniques in data preparation, data cleaning and feature selection that are needed to set your machine learning model up for success.
Leakgan_text_generation
Language Generation Through Gans
Machine_Learning
Machine Learning Concepts and Algorithms.
Advanced-Data-Structures-Templates
Templates of challenging algorithms.
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
attack-and-defense-methods
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
big-companies-interview-questions
A curated list of previous asked Interview Question at Big Companies and Startups 🤲 🏆
coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Fine-Tune-BERT-for-Text-Classification-with-TensorFlow
Fine Tune BERT for Text Classification with TensorFlow.
Gojek_OnlineTest-Round2-
Source code submitted as part of Gojek Round 2
google-kubernetes-engine
Google Kubernetes Engine GKE with DevOps 75 Real-World Demos
grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Leet-Code-Coding-Problems
Daily Coding Problems
nlp
:memo: This repository recorded my NLP journey.
prometheus-anomaly-detector
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
Rest-API-with-Flask
Creating our application endpoints
Stock-Closing-Price-Predictions-using-GRU
Stock closing price prediction using tensorflow2,GRU,Keras
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Systems-Programming
Activity of programming Systems Software
Text-Generation
Text Generation Through Lstm and Gru