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jnesfield's starred repositories

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

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data-science-interviews

Data science interview questions and answers

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diamond

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model.

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nannyml

nannyml: post-deployment data science in python

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Deep-Spiking-Q-Networks

The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.

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OrdinalRL

Adaptation of common and deep reinforcement learning algorithms to ordinal rewards

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Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

MIT253800

mamba-chat

Mamba-Chat: A chat LLM based on the state-space model architecture 🐍

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. More features in development

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featuretools

An open source python library for automated feature engineering

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xplainable

Real-time explainable machine learning for business optimisation

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chattanooga

Papers We :heart: Chattanooga

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FinRL-Meta

FinRL-Meta: Dynamic datasets and market environments for FinRL.

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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.

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bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

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snn-rl

Reinforcement Learning for Spiking Neural Networks

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SNN-RL

Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks with Reinforcement Learning".

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snntorch

Deep and online learning with spiking neural networks in Python

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sonnet

TensorFlow-based neural network library

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FinRL-Trading

For trading. Please star.

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modAL

A modular active learning framework for Python

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cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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Reinforcement-Learning

My dives into reinforcement learning

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