kwazinhlaka's repositories

Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

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2022-pydata-global-seaborn

Materials for the Data Visualisation with Seaborn tutorial at PyData Global 2022

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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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CausalPy

A Python package for causal inference in quasi-experimental settings

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Deeptuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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FastChat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

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flyte-conference-talks

A repo of Flyte-related conference talks

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From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

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glosario-py

glosario allows users to create and retrieve multilingual glossaries. By default, glosario provides access to a community-curated glossary hosted by The Carpentries. This repository also documents the structure expected for the glossaries that can be managed by glosario.

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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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ML-Study-Guide

Minimal Machine Learning Study Plan

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mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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nlp_notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

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openai-cookbook

Examples and guides for using the OpenAI API

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Python-Feature-Engineering-Cookbook

Python Feature Engineering Cookbook, published by Packt

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VMLS-Companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

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Web-Dev-For-Beginners

24 Lessons, 12 Weeks, Get Started as a Web Developer

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workflows-deep-dive

Workflows Deep Dive workshop for PyData Global 2022.

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