jnesfield's repositories
Reinforcement-Learning
My dives into reinforcement learning
seeing_eye
Nvidia Jetson Nano Project
agent57_pytorch
unofficial code reproducing Agent57
cognitive-services-personalizer-samples
Samples for the Microsoft personalizer
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
data-science-at-the-command-line
Data Science at the Command Line
dataprep
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
data-science-interviews
Data science interview questions and answers
Deep-Spiking-Q-Networks
The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.
DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
diagrams
:art: Diagram as Code for prototyping cloud system architectures
Intro-to-Algos
Working thru examples from intro to algos
LearnPythonWithFantasyFootball
Data files for the Learn Python with Fantasy Football course on fantasydatapros.com
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
mamba-chat
Mamba-Chat: A chat LLM based on the state-space model architecture 🐍
matmulfreellm
Implementation for MatMul-free LM.
mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
nannyml-additions
nannyml: post-deployment data science in python
Project-Showcase
Projects to showcase as part of my professional portfolio
RetroPie-Setup
Shell script to set up a Raspberry Pi/Odroid/PC with RetroArch emulator and various cores
TD7
Author's PyTorch implementation of TD7 for online and offline RL
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Writing-Code
Code and small projects associated with blogs or articles