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  • šŸ‘‹ Hi, Iā€™m @lanseyege
  • šŸ‘€ Iā€™m interested in Machine Learning, Deep Learning, Reinforcement Learning, NLP, Blockchain and Cryptography.
  • šŸŒ± Iā€™m currently learning Cryptography, and zk-Snarks.
  • šŸ’žļø Iā€™m looking to collaborate on ...
  • šŸ“« How to reach me : email address lanseyege # gmail # com

lanseyege's Projects

maml icon maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

maxent icon maxent

use Maximum Entropy Model do some experiments

micrograd icon micrograd

A tiny autograd engine and a neural net library on top of it, potentially for educational purposes

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-rl icon pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

revad icon revad

Reverse-mode automatic differentiation in Rust (experiment)

rl-adventure-2 icon rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rlquant icon rlquant

Applying Reinforcement Learning in Quantitative Trading

simple-a2c icon simple-a2c

A simple A2C made from scratch in PyTorch. Accompanying comic at https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752

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