Saurabh's repositories
llm-applications
A comprehensive guide to building RAG-based LLM applications for production.
EasyNMT
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages
An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading
Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"
diffi
Interpretation of Isolation Forests
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
DLTK
Deep Learning Toolkit for Medical Image Analysis
q-trader
Deep Q-learning driven stock trader bot
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3nd edition)" book code repository
lit
Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"
mimic-cxr
Code, documentation, and discussion around the MIMIC-CXR database
apricot
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly.
google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Automated-Resume-Screening-System
Automated Resume Screening System using Machine Learning (With Dataset)
SMDL
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
deeplearning-models
A collection of various deep learning architectures, models, and tips
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
skope-rules
machine learning with logical rules in Python
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep_learning_object_detection
A paper list of object detection using deep learning.
pwc
Papers with code. Sorted by stars. Updated weekly.
Keras_Deep_Clustering
How to do Unsupervised Clustering with Keras
ipython-notebooks
A collection of IPython notebooks covering various topics.
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
AzureChestXRay
Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.
cs131_notes
Class notes for CS 131.
CS131_release
Released assignments for the fall 2017 iteration of CS131.