Stars
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Fast symbolic computation, code generation, and nonlinear optimization for robotics
snazari / Python-Simulink
Forked from dapperfu/Python-SimulinkRun Simulink models with Python using shared libraries.
The Robot Operating System, is a meta operating system for robots.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Markov games, partially observable stochastic games, minimax q learning etc.
snazari / maddpg
Forked from openai/maddpgCode for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A curated list of network embedding techniques.
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
time series anomaly detection using rnns for my thesis
Multivariate time-series t-Distributed Stochastic Neighbor Embedding
code for "Trajectory clustering via deep representation learning"
Linear programming solvers in Python with a unified API
Data and code behind the articles and graphics at FiveThirtyEight
Code for "COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution", NIPS 2015
Code for "Smart Broadcasting: Do you want to be seen?", KDD 2016
Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018
Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018