janardhanv's repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
cloud-ml-examples
A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
coding-interview-university
A complete computer science study plan to become a software engineer.
data-science-blogs
A curated list of data science blogs
dovpanda
Directions overlay for working with pandas in an analysis environment
fullstack.ai
End-to-end machine learning project showing key aspects of developing and deploying ML driven application
helm
The Kubernetes Package Manager
Heroku_Deployment
Heroku is a container-based cloud Platform as a Service (PaaS). Developers use Heroku to deploy, manage, and scale modern apps. Our platform is elegant, flexible, and easy to use, offering developers the simplest path to getting their apps to market.
Hyperparameter_Tuning_Techniques
Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall behavior of a machine learning model. The ultimate goal is to find an optimal combination of hyperparameters that minimizes a predefined loss function to give better results.
Julia
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!
jupyter
Jupyter metapackage for installation, docs and chat
M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
Machine-Learning-1
In this repository I have done the implementation of all the machine learning concepts.
madewithml
Learn how to responsibly deliver value with applied ML.
mlflow-examples
Basic MLflow examples
pycaret
An open-source, low-code machine learning library in Python
pytorch-Deep-Learning
Deep Learning (with PyTorch)
Questgen.ai
Question generation using state-of-the-art Natural Language Processing algorithms
question_generation
Neural question generation using transformers
research-notes
Stuff I find useful, mostly on research and computer vision.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python