Pinned Repositories
algorithms-primer
A consolidated collection of resources for you to learn and understand algorithms and data structures easily.
ansible-node-exporter
Provision basic metrics exporter for prometheus monitoring tool
APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
awesome-ai-residency
List of AI Residency Programs
awesome-text-summarization
The guide to tackle with the Text Summarization
bert_score
BERT score for text generation
build-a-backend-api-python-Django
Supplementary cheat sheet document for our Udemy course: Build a Backend REST API with Python & Django - Beginner
expertiza
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Object_orienteed_design_and_development_project
Statistical_Inference_2_project
Statistical Inference 2 projects
anand21096's Repositories
anand21096/algorithms-primer
A consolidated collection of resources for you to learn and understand algorithms and data structures easily.
anand21096/ansible-node-exporter
Provision basic metrics exporter for prometheus monitoring tool
anand21096/APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
anand21096/awesome-ai-residency
List of AI Residency Programs
anand21096/awesome-text-summarization
The guide to tackle with the Text Summarization
anand21096/bert_score
BERT score for text generation
anand21096/build-a-backend-api-python-Django
Supplementary cheat sheet document for our Udemy course: Build a Backend REST API with Python & Django - Beginner
anand21096/expertiza
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
anand21096/Object_orienteed_design_and_development_project
anand21096/Statistical_Inference_2_project
Statistical Inference 2 projects
anand21096/cvxpy
A Python-embedded modeling language for convex optimization problems.
anand21096/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
anand21096/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
anand21096/Get_google_images
anand21096/interview_prep
Everything you need to prepare for your technical interview
anand21096/Intro
Introductory website
anand21096/LeetCode-Solutions
🏋️ (Weekly Update) Python / Modern C++ Solutions of All 2005 LeetCode Problems
anand21096/lencon
Implementation of "Controlling Output Length in Neural Encoder-Decoders"
anand21096/Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
anand21096/memescraper
Scrap memes from the internet using python and regular expressions
anand21096/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
anand21096/models
Models and examples built with TensorFlow
anand21096/New-Grad-Positions-2022
A collection of New Grad full time roles in SWE, Quant, and PM.
anand21096/profiles-rest-api
Source code for profiles REST API
anand21096/Repo-2017
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
anand21096/service-streamer
Boosting your Web Services of Deep Learning Applications.
anand21096/Spiking-Neural-Network
Pure python implementation of SNN
anand21096/Styleformer
A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
anand21096/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
anand21096/tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow