Gurumurthi V Ramanan's repositories
pdf-text-data-extractor
PDF text data extraction web application with streamlit
ZerodhaPythonScripts
All scripts are in python language to trade in zerodha using algorithms.
aim
Aim — an easy-to-use and performant open-source experiment tracker.
Beibo
🤖 Predict the stock market with AI 用AI预测股票市场
clearbuds
Clearbuds machine learning repository
code-transformer
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
common-crawl-malayalam
Useful tools to extract malayalam text from the Common Crawl Datasets
CS131_release
Released assignments for the Stanford's CS131 course on Computer Vision.
fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
indic_nlp_resources
Resources to go with the Indic NLP Library
k-diffusion
Karras et al. (2022) diffusion models for PyTorch
Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Medium-Article-Code
Random code for medium articles.
obsei
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
PyEVM
Python implementation of EVM(Eulerian Video Magnification)
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
relataly-public-python-tutorials
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
sutton-barto-rl-exercises
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
textbook
The textbook Computational and Inferential Thinking: The Foundations of Data Science
tradewithpython-blogs
Repo for storing all blogs written on https://tradewithpython.com/
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
unsupervised_NER
Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuning. State-of-art performance on 3 biomedical datasets