MMBazel's Stars
furqanshahid85-python/Python-FTP-File-Ingestion
This module provides the functionality of uploading files to s3 from a FTP server. An SFTP connection is created with the FTP server and all the files present in the specified directory are uploaded to the specified s3 bucket. Following are the key features of this module: Creates a secure ssh connection with FTP server. Handles multipart upload to s3 automatically, if file size is greater than 100MB (can be configured). Automatically handles retires in case of failed uploads during multipart upload. Partitions the data in s3 based on current year,month,day,hour. Ensures which file has been processed or needs to be processed.
TheAlgorithms/Python
All Algorithms implemented in Python
ayushidalmia/awesome-fashion-ai
A repository to curate and summarise research papers related to fashion and e-commerce
gdmarmerola/big-data-ml-training
Code for "Training models when data doesn't fit in memory" post
ronikobrosly/causal-curve
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
linkedin/school-of-sre
At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.
MaterializeInc/materialize
The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.
combust/mleap
MLeap: Deploy ML Pipelines to Production
airbnb/knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
bigdatabr/interactive-intro-rl
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
dmatrix/tmls-workshop
Toronto Machine Learning MLflow Workshop
springboard-curriculum/awesome-springboard-capstones
Place for collecting great projects/capstones from previous springboard students.
nd1/pycon_2017
Fantastic Data and Where To Find Them: An introduction to APIs, RSS, and Scraping
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
sasha-kap/TripAdvisor-Rankings
Capstone Project for General Assembly's Data Science Immersive Course
Julienbeaulieu/julienbeaulieu.github.io
A place where I write articles
logancyang/my-cs-degree
A CS degree with a focus on full-stack ML engineering, 2020
facebookresearch/SentAugment
SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in combination with self-training and knowledge-distillation, or for retrieving paraphrases.
visenger/awesome-mlops
A curated list of references for MLOps
PAIR-code/facets
Visualizations for machine learning datasets
fastai/course-v3
The 3rd edition of course.fast.ai
fastai/fastai
The fastai deep learning library
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
christophM/interpretable-ml-book
Book about interpretable machine learning
nteract/papermill
📚 Parameterize, execute, and analyze notebooks
cs4good/social-good-106-section
Workshop materials and other resources for Stanford CS 106B/X Social Good section
aforarup/interview
Resources to crack the next coding interview
ariannedee/python-environments
Code for O'Reilly training - Python Environments
hundredblocks/ml-powered-applications
Companion repository for the book Building Machine Learning Powered Applications