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