Liancheng Fang (fangliancheng)

fangliancheng

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Location:Chicago, IL

Home Page:fangliancheng.github.io

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Liancheng Fang's repositories

BEVDet

Official code base of the BEVDet series .

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bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

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DeepCCA

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

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dotfiles

Dot files!

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dynamic-k-activation

Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks

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examples

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

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fangliancheng.github.io

Personal website

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FeatureCP

The official codebase for Predictive Inference with Feature Conformal Prediction

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Hybrid-method-implementation

implementation of various methods

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iris-python

Collection of iris classifcation program for teaching purpose

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ISLET

ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching

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models

Models and examples built with TensorFlow

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Power-Iteration-SVD

Backpropagation-Friendly-Eigendecomposition

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-iris

A simple implementation of IRIS dataset classification with Pytorch

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rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

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slimmable_networks

Slimmable Networks, ICLR 2019, and ICCV 2019

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t3f

Tensor Train decomposition on TensorFlow

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tabsyn

Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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TNML

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

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tntorch

Tensor Network Learning with PyTorch

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vision

Datasets, Transforms and Models specific to Computer Vision

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xfer

Transfer Learning library for Deep Neural Networks.

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