许婧's repositories

HiT-MAC

This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

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deep-person-reid

Pytorch implementation of deep person re-identification models.

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DREAM

rnn based model for recommendations

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DSN

This repository is a pure environment of DSNs.

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fastText

Library for fast text representation and classification.

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GLM

GLM (General Language Model)

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gym-unrealcv

Unreal environments for reinforcement learning

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homework

Assignments for CS294-112.

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interpret

Fit interpretable models. Explain blackbox machine learning.

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mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

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mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

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multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

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person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

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pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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Recurrent-Point-Process

Modeling the asynchronous event sequence via Recurrent Point Process

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

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rlkit

Collection of reinforcement learning algorithms

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vae

a simple vae and cvae from keras

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Video-Person-ReID

Video-based Person ReID Method Implementations on MARS

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