jnesfield's repositories
Reinforcement-Learning
My dives into reinforcement learning
seeing_eye
Nvidia Jetson Nano Project
agent57_pytorch
unofficial code reproducing Agent57
cLangStuff
C Programming Language Projects
cognitive-services-personalizer-samples
Samples for the Microsoft personalizer
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.
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
introduction-to-algorithms
📚 Introduction to Algorithms
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 🐍
mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Project-Showcase
Projects to showcase as part of my professional portfolio
pyppca
Probabilistic PCA which is applicable also on data with missing values. Missing value estimation is typically better than NIPALS but also slower to compute and uses more memory. A port to Python of the implementation by Jakob Verbeek.
Pytorch
Pytorch Learning and Projects
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