arshahin Goto Github PK

-stanford-cs224n-assignments-2019

The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)

4dome_gis_outranking

The data and source codes. The algorithms of CoCoSo and MAIRCA methods were formulated in Excel, and each parameter was calculated.

alphalens

Performance analysis of predictive (alpha) stock factors

altair-used-to-select-samples-from-poro-perm-cross-plot-to-generate-the-respective-pc-curves

We are using Altair to Select Samples from a Poro-Perm Cross Plot and the respective Pc Curves or other data are then shown for the selected samples

apachenifi

Youtube Apache NiFi 2022 Series resources

apahce_sedona

A cluster computing framework for processing large-scale geospatial data

aws_mlops_sagemaker

https://aws.amazon.com/blogs/machine-learning/mlops-for-batch-inference-with-model-monitoring-and-retraining-using-amazon-sagemaker-hashicorp-terraform-and-gitlab-ci-cd/

axolotl

Go ahead and axolotl questions

azure_databricks_lab_august2023

blueing-reflectivity-integration-bri-

Seismic Spectral Enhancement Technique

cardinal

A practical Active Learning python package with a strong focus on experiments.

cicd-mlops-demo

Demo for CI/CD in a machine learning project

clustering_regression_well_logs_ml_python

A package for well log clustering and regression in Python

cnn_based_impedance_inversion

Convolutional neural network for seismic impedance inversion

cnn_based_petrophysical_inversion

CNN_Petrophysical_Seismic_Inversion Mukerji

cnn_facies_classification

Deep-learning seismic facies on state-of-the-art CNN architectures

conditional-variational-autoencoder

MATLAB CVAE

conditional_vae

CVAE_Keras_Papper_2015

core2relperm

Core2Relperm project for inverse modelling of core flooding experiments

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

cvae

Conditional Variational AutoEncoder (CVAE) PyTorch implementation

databricks_data-ai-virtual-tour

Data & AI Virtual Tour Repo

databricks_lab_august_2023

databricks_llm_rag

Build a question answering system based on a given collection of documents with open-source LLMs

delta-live-tables-notebooks

demo_repo

just testing

dl_generative_models_stanford

Course notes

dl_mit

Lab Materials for MIT 6.S191: Introduction to Deep Learning

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

drl_portfolio-management

This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.