Beast code in Giters

Pengxiang Wu's repositories

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"

Language:Python41 3 4

NeurIPS 2020, "A Topological Filter for Learning with Label Noise".

Language:C++27 3 5

"FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding", NeurIPS 2023 Datasets and Benchmarks Track

Language:PythonNOASSERTION10 30

Implementation of Persistent Homology Localization Algorithms

Language:C++7 2 2

Code for "Point cloud processing via recurrent set encoding"

Language:Python6 20

Loop Subdivision. Written in C++, based on DirectX 11.

Language:C++3 2 1

A simple AI for 2048

Language:JavaScriptMIT2 20

Code for "Deep Attentive Feature Learning for Histopathology Image Classification"

Language:Python2 3 1

A curated list of resources for Learning with Noisy Labels

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my vim configuration (lot of python, autocompletition, fuzzy finder, debugger, ...)

Language:VimL020

:panda_face: Somewhat port of the Panda Syntax theme for PyCharm

MIT010