pipiku915

FinMem-LLM-StockTrading

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

FinRL-Meta

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

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

api

Pushshift API

asap

Fast and accurate Active SAmpling method for Pairwise comparisons

attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

BabyRobot

A Baby Robot's Guide to Reinforcement Learning

bottom-up-attention.pytorch

A PyTorch reimplementation of bottom-up-attention models

bpr

Bayesian Personalized Ranking using PyTorch

CyCLIP

deep-active-learning

Deep Active Learning

Dissertate

Beautiful LaTeX dissertation templates.

ESG-BERT

Domain Specific BERT Model for Text Mining in Sustainable Investing

faiss

A library for efficient similarity search and clustering of dense vectors.

functionalmf

Functional matrix factorization via Bayesian tensor filtering

greedy_active_learning_bayesian_project

guardrails

Adding guardrails to large language models.

guidance

A guidance language for controlling large language models.

keract

Layers Outputs and Gradients in Keras. Made easy.

makeesy-deep-learning

Repository to keep code related Deep Learning tutorials.

open_flamingo

An open-source framework for training large multimodal models.

pgvecto.rs

Vector database plugin for Postgres, written in Rust, specifically designed for LLM

py-bottom-up-attention

PyTorch bottom-up attention with Detectron2

pyrelational

pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.

pytorch-beginner

pytorch tutorial for beginners

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

RL-book

SelfCrossAttn

PyTorch implementation of the models described in the IEEE ICASSP 2022 paper "Is cross-attention preferable to self-attention for multi-modal emotion recognition?"

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

vilbert-multi-task

Multi Task Vision and Language