Chengxi Ye (yechengxi)

yechengxi

Geek Repo

Company:Google Research

Location:Seattle

Home Page:https://sites.google.com/view/cxy

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Chengxi Ye's repositories

LightNet

Efficient, transparent deep learning in hundreds of lines of code.

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DBG2OLC

A genome assembler that reduces the computational time of human genome assembly from 400,000 CPU hours to 2,000 CPU hours, utilizing long erroneous 3GS sequencing reads and short accurate NGS sequencing reads.

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SparseAssembler

A sparse k-mer graph based, memory-efficient genome assembler.

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SalsaNext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

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Synchronized-BatchNorm-PyTorch

Synchronized Batch Normalization implementation in PyTorch.

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active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

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maskrcnn-benchmark-1

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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VAT-pytorch

Virtual Adversarial Training (VAT) implementation for PyTorch

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arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

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datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

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DeepGuidedFilter

Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

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EKFAC-pytorch

Repository containing Pytorch code for EKFAC and K-FAC perconditioners.

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flax

Flax is a neural network library for JAX that is designed for flexibility.

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get_all_tickers

Get all publicly traded tickers with this library

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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PWC-Net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

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pytorch-center-loss

Pytorch implementation of Center Loss

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training_results_v0.7

Training v0.7 results

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transformers-1

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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