Pinned Repositories
SSC-covid19-case
Statistical Society of Canada Covid-19 Case Competition
ArchGen
autogen_monorepo
AV-glare-flask-app
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
gym_bicycle
gym_bicycle environment
hsmohammed.github.io
IRL_SharedSpace
This is a repository containing all the codes and files of the analysis of interactions in shared space using Inverse Reinforcement Learning
Kaggle-Lyft
rudaux
Canvas Course Management with JupyterHub & nbgrader
hsmohammed's Repositories
hsmohammed/ArchGen
hsmohammed/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
hsmohammed/hsmohammed.github.io
hsmohammed/IRL_SharedSpace
This is a repository containing all the codes and files of the analysis of interactions in shared space using Inverse Reinforcement Learning
hsmohammed/Kaggle-Lyft
hsmohammed/rudaux
Canvas Course Management with JupyterHub & nbgrader
hsmohammed/autogen_monorepo
hsmohammed/AV-glare-flask-app
hsmohammed/bicycle_imitation_learning
hsmohammed/gym_bicycle
gym_bicycle environment
hsmohammed/bssm
Bayesian Inference of State Space Models
hsmohammed/COVID-19-Global-Forecast-Kaggle
hsmohammed/dash-demo
hsmohammed/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
hsmohammed/flying-dog-beers
hsmohammed/hossam_website
hsmohammed/keras
Deep Learning for humans
hsmohammed/keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
hsmohammed/l5kit
L5Kit - level5.lyft.com
hsmohammed/lstm_vae
hsmohammed/machine-learning-algorithm-implemention
Implement algorithms with basic functions
hsmohammed/Made-With-ML
hsmohammed/ml_project_skeleton
hsmohammed/prompt_engineering_experiments
hsmohammed/pypkgs
hsmohammed/Python-MLOps-Cookbook
This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
hsmohammed/rag_playground
hsmohammed/test
hsmohammed/tikz
Random collection of standalone TikZ images
hsmohammed/VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.