futurikidis21's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
keras-team/keras
Deep Learning for humans
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
chubin/cheat.sh
the only cheat sheet you need
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Theano/Theano
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
tflearn/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
hediet/vscode-drawio
This unofficial extension integrates Draw.io (also known as diagrams.net) into VS Code.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
lucidrains/DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
facebookresearch/ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
facebookresearch/mbrl-lib
Library for Model Based RL
facebookresearch/madgrad
MADGRAD Optimization Method
datacamp/course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
aws-samples/mlops-amazon-sagemaker
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
zzaebok/KGCN-pytorch
KGCN pytorch model implementation
konosp/propensity-score-matching
awslabs/sagemaker-explaining-credit-decisions
Amazon SageMaker Solution for explaining credit decisions.
aws-samples/amazon-sagemaker-ab-testing-pipeline
Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.
bigdatabr/interactive-intro-rl
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
openerror/PandasTransform
scikit-learn transformers that work with pandas.DataFrame, with unit tests and CI