ppant
Software Architect / Programmer/Researcher, Open Source, AI/ML, Process Mining
Ockham BVBangalore, IN
ppant's Stars
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
ashishps1/awesome-system-design-resources
Learn System Design concepts and prepare for interviews using free resources.
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
ashishps1/awesome-low-level-design
Learn Low Level Design (LLD) and prepare for interviews using free resources.
ppant/ppant.github.io
Pradeep K. Pant's website
ppant/anki
Repo for my Anki flashcard card revision system
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
rajivpant/ragbot
Ragbot.AI is an augmented brain assistant developed by Rajiv Pant
ppant/deeplearning.ai-notes
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
kubernetes/kubernetes
Production-Grade Container Scheduling and Management
davidstutz/bootstrap-multiselect
JQuery multiselect plugin based on Twitter Bootstrap.
jwasham/computer-science-flash-cards
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
TheAlgorithms/Python
All Algorithms implemented in Python
mitmath/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
christian-fei/Simple-Jekyll-Search
A JavaScript library to add search functionality to any Jekyll blog.
MelJan/PyDeep
PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.
ermongroup/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
TutsWiki/tutswiki.github.io
Source code of TutsWiki
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Perl/perl5
🐪 The Perl programming language
nic-delhi/AarogyaSetu_Android
Aarogya Setu Android app native code
JuliaLang/julia
The Julia Programming Language
fastai/fastbook
The fastai book, published as Jupyter Notebooks
alexattia/Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
mattcone/markdown-guide
The comprehensive Markdown reference guide.
scalameta/metals
Scala language server with rich IDE features 🚀
SpaceVim/SpaceVim
A modular Vim/Neovim configuration