Peymankor

rlhf-book

Textbook on reinforcement learning from human feedback

mlops-zoomcamp

Free MLOps course from DataTalks.Club

superlinked

A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Awesome-LLM-Strawberry

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

RLHF

Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

rlvother_for_AMoption

seqdec_powell_repo

This repo will provides the python codes for the book "SEQUENTIAL DECISION ANALYTICS AND MODELING" written by Proff. Warren B. Powell in the notebook format.

awesome-quarto

A curated list of Quarto talks, tools, examples & articles! Contributions welcome!

chatgpt-conversation

Have a conversation with ChatGPT using your voice, and have it talk back.

SciencePlots

Matplotlib styles for scientific plotting

Core

Woman, life, freedom

Bash-Oneliner

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

Awesome-Deep-Hedging

A curated list of resources dedicated to Deep Hedging

Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Frustration-One-Year-With-R

An extremely long review of R.

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

AmericanOptionPricing

Least Squares Monte Carlo and Simulated Annealing Approach

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

ML_Finance_Codes

Machine Learning in Finance: From Theory to Practice Book

stat_rethinking_2022

Statistical Rethinking course winter 2022

XaringanTutorial

A quick tutorial on making slides using xaringan

bayesoptbook.github.io

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

ultimate-volleyball

3D RL Volleyball environment built on Unity ML-Agents

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

pysamppackage

A sample package for Python to learn how to structure a package.

POMDPs.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.