Lists (17)
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Art
Chess
Computer Science
Basic Knowledge of COmputer ScienceDeep Learning
finance&trading
GNN
Graph: Graph Coloring Problem
Graph: Maximum Cut
maximum cut problemheuristic methods
heuristic algorithmsInspirations
LLM
about LLMNLP
RL
THings about RLRL-references
Reference links of RLRNN/LSTM
Train-System
For Wunderlanduseful-python-libs
Stars
A collection of AI Agents papers (Updated biweekly)
An open source collection of animated, interactive & fully customizable React components for building memorable websites.
Jinikal Art is where philosophy merges with surreal creation, exploring the unseen universes that exist within us all.
Displays a train timetable on a 0.96" TFT
A hybrid approach combining Reinforcement Learning (RL) with the Tabucol for the Graph Coloring Problem (GCP)
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resista…
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Access large language models from the command-line
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Awesome Knowledge Distillation
Riona Ai Agent 🌸 is built using Node.js and TypeScript 🛠️, designed for seamless job execution 📸. It's lightweight, efficient, and still evolving 🚧—exciting new features coming soon! 🌟
A list of online resources for quantitative modeling, trading, portfolio management
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
reinforcement learning with pytorch geometric library
Tabucol, which is an effective heuristic algorithm for GCP: Graph Coloring Problem
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Solving the Graph Coloring Problem with a Genetic Algorithm.
Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
An educational resource to help anyone learn deep reinforcement learning.