Synchronized Batch Normalization implementation in PyTorch.
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A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
PatchMatch based image inpainting for C++ and Python.
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Personal dotfiles.
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
(Batched) advanced indexing for PyTorch.
Lightweight neural network library for Tensorflow.
Personal python toolbox.
Personal Dashboard for Machine Learning Experiments
A modular, real-time controller library for Franka Emika Panda robots
Python Bindings for TracIK with no ROS dependencies
Pyhton Stub file for the rby1-sdk
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
A ROS/Python API for controlling and managing the Franka Emika Panda robot. Contains exposed controllers for the robot (joint position, velocity, torque), interfaces for the gripper, controller manager, coordinate frames interface, etc.
The NetHack Learning Environment
The first place solution for the NeurIPS 2021 Nethack Challenge -- https://www.aicrowd.com/challenges/neurips-2021-the-nethack-challenge
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Randomized Correspondence Algorithm for Structural Image Editing
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BlockChainDB for course "Operation System" at Tsinghua University.
A naive implementation of ray tracing, incl. Path Tracing and Photon Mapping.
A naive implementation of triangle mesh decimation.
Project ``Learning in Repeated Games'' of Course ``Game Theory''
BlockDB for course "Operation System".
Complete threading system for Stock Nachos.
A demo project for an auto-diff numerical operation library. Designed for course "Advanced Apps of Machine Learning'' at Tsinghua Univ.
Tensorflow implementation for deepdream and neural-style. Designed for course "Advanced Apps of Machine Learning'' at Tsinghua Univ.
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A demo project for a computation graph implementation in C++.
A complete pytorch implementation of skip-gram
Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)
ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
A simple XeLaTeX Template.
Implementation of our paper "Learning Visually-Grounded Semantics from Contrastive Adversarial Samples" at COLING 2018.
Neural-symbolic visual question answering
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
A Python library for distantly supervised CCG parsing/learning, based off of NLTK's CCG implementation
A python wrapper for gco-v3.0 package, used for graph cuts based MRF optimization.
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Python wrappers for GCO alpha-expansion and alpha-beta-swaps
Referring Expression Datasets API
TOQ-Nets-PyTorch code release
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Atari-Simulator