Sourav Singh's starred repositories
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
python-telegram-bot
We have made you a wrapper you can't refuse
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
word2vec-api
Simple web service providing a word embedding model
django-ses
A Django email backend for Amazon's Simple Email Service
BMW-TensorFlow-Training-GUI
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
import-tracker
Python utility for tracking third party dependencies within a library
ganimation_replicate
An Out-of-the-Box Replication of GANimation using PyTorch, pretrained weights are available!
BMW-Anonymization-API
This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.
iFeature
iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.
breathing-k-means
The "breathing k-means" algorithm with datasets and example notebooks
systems
Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
django-yamlfield
A Django database field for storing YAML data
climate_data_analytics
Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)