Popular GitHub Repositories for Pg Stat Statements

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PostgreSQL database anonymization and synthetic data generation tool

PyTorch implementation of Soft Actor-Critic (SAC)

Attribute (or cite) statements generated by LLMs back to in-context information.

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for implementing LLMs, traditional machine learning and deep learning models on the labelled dataset

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safety and robustness (jailbreaking, oversight, uncertainty), representations, interpretability (circuits), etc.

Repository for slides & codes of RL Korea Bootcamp

Professional, read-only MCP server for PostgreSQL ops/monitoring: performance insights using pg_stat_statements & pg_stat_monitor, plus structure/size/config visibility.

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

The Yahoo Finance Agent is an application that combines OpenAI's LLMs, the Yahoo Finance Python library, and LangChain's tools to provide real-time financial data. It features stock information, financial statements, and an interactive chat interface, all while maintaining conversation context and integrating with Langsmith for debugging

The Belief Propagation approximation for probability distributions on sparse graphs

This project contains source code to demonstrate the usage of Retrival Augmented Generation (RAG) feature using Spring AI using PG Vector as the Database and Ollama as the Local LLM

Distributed Reinforcement Learning for LLM Fine-Tuning with multi-GPU utilization

SoulCare is a mental health app using NLP to analyze social media sentiment, track symptoms, and offer AI-driven support with personalized reports, document uploads, and symptom-based prioritization.

A system that analyzes the tone of texts and statements.