akashmavle5 Goto Github PK

--akash

Akash Repository of Python codes

-developed-models-for-hedge-fund-with-machine-learning-

Deployed machine learning models (Logistic Regression, Random Forest, Gradient Boost, XGBoost, SVM, Neural Network) to manages an institutional grade long/short global equity strategy for the investors in hedge fund

-full-stack-web-development-with-django-2.x-and-angular-8

Full-Stack Web Development with Django 2.x and Angular 8, published by Packt

-scalable-data-analysis-in-python-with-dask

Scalable Data Analysis in Python with Dask, by Packt publishing

100-nlp-papers

100 Must-Read NLP Papers

5minutefinance

Interactive Presentations for Financial Education using R/Shiny. See full list of presentations (with links) below.

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

act-r

address-net

A package to structure Australian addresses

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

advanced-deep-learning-with-python

Advanced Deep Learning with Python by Packt Publishing

advanced-shiny

🤹 Shiny tips & tricks for improving your apps and solving common problems

adventureworksweb

Visualize Adventure Works Database through this Angular Project

aircraft-engine-lifetime-prediction-with-machine-learning

ASE2306-Capstone Project [2019/20 T3] - Aircraft Engine Lifetime Prediction with Machine Learning

airml

Using machine learning in the aircraft maintenance industry

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

alpaca-lora

Instruct-tune LLaMA on consumer hardware

alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM

alphachess

An attempt to AlphaGo, but for chess.

altair

Declarative statistical visualization library for Python

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

aml

Notebooks for the Algorthmic Machine Learning class @ Eurecom

amlsim

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.

analytics-componentized-patterns

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

analytics-zoo.github.io

anti-money-laundering

anti-money-laundering-1

anti-money-laundering-project

anti-money-laundering-project-1