NjuHaoZhang

HaoZhang's starred repositories

ConvLSTM-AE_VAD_ICME2017

ConvLSTM-AE_VAD_ICME2017 (code reimplementation)

Language:Python2100

NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

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Awesome_Video_Frame_Prediction

This is a zoo which contain all kinds of video prediction model code(reimplementation or author provide)and the paper.I created this repository to make it easy for newbies in the video prediction field to get started.

Language:PythonMIT5600

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Language:PythonMIT1390300

tensorflow-vs-pytorch

Guide for both TensorFlow and PyTorch in comparative way

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RigNet

Code for SIGGRAPH 2020 paper "RigNet: Neural Rigging for Articulated Characters"

Language:PythonGPL-3.0133700

DAIN

Depth-Aware Video Frame Interpolation (CVPR 2019)

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DYAN

A Dynamical Atoms-Based Network For Video Prediction

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

Language:PythonNOASSERTION2244900

runx

Deep Learning Experiment Management

Language:PythonBSD-3-Clause63000

DeeperCluster

Implements the unsupervised pre-training of convolutional neural networks

Language:PythonNOASSERTION24600

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Language:PythonApache-2.02944900

pytorch_GAN_zoo

A mix of GAN implementations including progressive growing

Language:PythonBSD-3-Clause160600

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Language:PythonApache-2.0640400

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

Language:PythonMIT347200

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

Language:PythonMIT45500