gm-gwu's Stars
serverless/serverless
⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.
fastai/fastai
The fastai deep learning library
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
PAIR-code/facets
Visualizations for machine learning datasets
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
udacity/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
jayshah19949596/CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
naiveHobo/InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
jadianes/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
aws-deepracer/aws-deepracer-workshops
DeepRacer workshop content
Shujian2015/FreeML
A List of Data Science/Machine Learning Resources (Mostly Free)
alex04072000/ObstructionRemoval
[CVPR 2020] Learning to See Through Obstructions
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
drivendataorg/concept-to-clinic
ALCF Concept to Clinic Challenge
udacity/DL_PyTorch
Code for the Deep Learning with PyTorch lesson
jphall663/GWU_data_mining
Materials for GWU DNSC 6279 and DNSC 6290.
klemag/pydata_nyc2018-intro-to-model-interpretability
Notebook and slides for my talk at Pydata NYC 2018
ACloudGuru/DynamoDB-B2P
Lab files for A Cloud Guru 'Amazon DynamoDB - From Beginner to Pro '
idealo/nvidia-docker-keras
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
IBM/customer-churn-prediction
WARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode.
devshaaran/Emotion_Recognition
A live emotion recognition tool.
Rajneesh-Tiwari/AV_WNS
Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya