Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
1st-Order-ODE
solving a 1st order ODE
animated_plot
AstroHackWeek2015
Materials for the 2015 Astro Hack Week
Awesome-Machine-learning-Deep-learning-Deployment
Awesome Machine learning Deep learning Deployment
awesome-mlops
A curated list of references for MLOps
awesome-mlops-1
:sunglasses: A curated list of awesome MLOps tools
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
RKPandit's Repositories
RKPandit/awesome-mlops-1
:sunglasses: A curated list of awesome MLOps tools
RKPandit/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
RKPandit/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
RKPandit/awesome-mlops
A curated list of references for MLOps
RKPandit/mlops-zoomcamp
Free MLOps course from DataTalks.Club
RKPandit/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
RKPandit/ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
RKPandit/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
RKPandit/best-of-python
🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
RKPandit/machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
RKPandit/tutorials-1
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
RKPandit/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
RKPandit/Data-Science-Cheatsheet
A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.
RKPandit/Dynamic_Programming_Journey
Sharing my journey :purple_heart: of Dynamic Programming :dizzy: :fire: . This would not be possible without Aditya Verma's DP series :pray: :point_down: :point_down:
RKPandit/120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
RKPandit/tutorials
All of the code for my Medium articles
RKPandit/FAANG
Facebook, Amazon, Apple, Netflix and Google (FAANG) Job preparation.
RKPandit/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
RKPandit/PRML
PRML algorithms implemented in Python
RKPandit/deep_learning_notebooks
A collection of some of my deep learning experiments on NLP. Fork it, improve it :)
RKPandit/machine-learning-systems-design
A booklet on machine learning systems design with exercises
RKPandit/Awesome-Machine-learning-Deep-learning-Deployment
Awesome Machine learning Deep learning Deployment
RKPandit/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
RKPandit/daily-coding-problem
Solutions to problems sent by dailycodingproblem.com
RKPandit/Splunking-Crime
Splunking Crime using Splunk Machine Learning Toolkit
RKPandit/fastai
The fastai deep learning library, plus lessons and and tutorials
RKPandit/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
RKPandit/Deeplearning.ai
Materials from deeplearning.ai course on Coursera
RKPandit/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
RKPandit/Coursera-Bioinformatics
My solution to Bioinformatics Specialization (Finding Hidden Messages in DNA; Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology)