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Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox.
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Free MLOps course from DataTalks.Club
Latex code for making neural networks diagrams
List of Computer Science courses with video lectures.
The “Quite OK Image Format” for fast, lossless image compression
Repository containing all code for the videos on the Reducible YouTube channel
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Quantitative research and educational materials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Tensorflow implementation of Deepminds dqn with double dueling networks
Test out various classification models like SVM,GaussianNB,K-Nearest etc. on your dataset by applying various hyper parameters In real time & choose the best model for your data.
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and …
A course in reinforcement learning in the wild
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
A collection of various deep learning architectures, models, and tips
Companion webpage to the book "Mathematics For Machine Learning"
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Probabilistic reasoning and statistical analysis in TensorFlow
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.