Displaying 1 to 7 from 7 results

ELF - An End-To-End, Lightweight and Flexible Platform for Game Research

  •    C++

ELF is an Extensive, Lightweight and Flexible platform for game research, in particular for real-time strategy (RTS) games. On the C++-side, ELF hosts multiple games in parallel with C++ threading. On the Python side, ELF returns one batch of game state at a time, making it very friendly for modern RL. In comparison, other platforms (e.g., OpenAI Gym) wraps one single game instance with one Python interface. This makes concurrent game execution a bit complicated, which is a requirement of many modern reinforcement learning algorithms. Besides, ELF now also provides a Python version for running concurrent game environments, by Python multiprocessing with ZeroMQ inter-process communication. See ./ex_elfpy.py for a simple example.

TorchCraft - Connecting Torch to StarCraft

  •    C++

A bridge between Torch and StarCraft. Synnaeve, G., Nardelli, N., Auvolat, A., Chintala, S., Lacroix, T., Lin, Z., Richoux, F. and Usunier, N., 2016. TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games - arXiv:1611.00625.

Caffe - Deep Learning Framework from Berkley Vision

  •    C++

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors.

Theano - Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

  •    Python

Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Its features include tight integration with NumPy, transparent use of a GPU, dynamic C code generation and lot more.




sciblog_support - Support content for my blog

  •    Jupyter

This repo contains the projects, additional information and code to support my blog: sciblog. You can find a list of all the post I made in this file.

visdial - [CVPR 2017] Torch code for Visual Dialog

  •    Lua

Visual Dialog requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Given an image, dialog history, and a follow-up question about the image, the AI agent has to answer the question. This repository contains code for training, evaluating and visualizing results for all combinations of encoder-decoder architectures described in the paper. Specifically, we have 3 encoders: Late Fusion (LF), Hierarchical Recurrent Encoder (HRE), Memory Network (MN), and 2 kinds of decoding: Generative (G) and Discriminative (D).

pixel-styler - Concise implementation of image-to-image translation.

  •    Python

This is a concise refactoring version of official PyTorch implementation for image-to-image translation. If you would like to apply a pre-trained model to a collection of input photos (without image pairs), please use --dataset_mode single and --model test options. Here's command to apply a model to Facade label maps (stored in the directory facades/testB).