bibinmjose's Stars
stitionai/devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
jakobhoeg/nextjs-ollama-llm-ui
Fully-featured, beautiful web interface for Ollama LLMs - built with NextJS. Deploy with a single click.
EmanueleMeazzo/SQL-Server-Diagnostic-Book
seominseok0429/Real-world-Anomaly-Detection-in-Surveillance-Videos-pytorch
Real-world Anomaly Detection in Surveillance Videos- pytorch Re-implementation
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
aws-samples/mlops-amazon-sagemaker
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
enoche/MultimodalRecSys
A curated list of awesome resources about multimodal recommender systems.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
jvelezmagic/cookiecutter-conda-data-science
drivendataorg/cloudpathlib
Python pathlib-style classes for cloud storage services such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
salesforce/OmniXAI
OmniXAI: A Library for eXplainable AI
chtrembl/azure-cloud
Here you will find various Azure Demos & Tutorials that I've put together for Azure Cloud using DevOps, Container Services and other PaaS offerings.
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
DAMO-DI-ML/ICML2022-FEDformer
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
skforecast/skforecast
Time series forecasting with machine learning models
mwburke/population-stability-index
Python implementation of the population stability index (PSI)
aws-samples/sagemaker-custom-project-templates
avaneeshqb/starter
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
ikatsov/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
danbev/learning-quantum-computing
This project only exists to help me learn about quantum computing
algorithmsbooks/decisionmaking
Algorithms for Decision Making textbook
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
VinF/deer
DEEp Reinforcement learning framework