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jundu's Projects

3d-gan icon 3d-gan

A simple and unofficial 3D-GAN implementation using PyTorch

ai-matrix icon ai-matrix

To make it easy to benchmark AI accelerators

aiortc icon aiortc

WebRTC and ORTC implementation for Python using asyncio

albert icon albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

basicvsr icon basicvsr

Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"

beast icon beast

HTTP and WebSocket built on Boost.Asio in C++11

beit-large icon beit-large

generate from: https://huggingface.co/microsoft/beit-large-patch16-224-pt22k-ft22k

conformer icon conformer

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeprec icon deeprec

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deit icon deit

Official DeiT repository

easyrec icon easyrec

A framework for large scale recommendation algorithms.

elmo icon elmo

Re-implementation of ELMo on Keras

examples icon examples

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

f3net icon f3net

Codes for the AAAI 2020 paper "F3Net: Fusion, Feedback and Focus for Salient Object Detection"

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastformers icon fastformers

FastFormers - highly efficient transformer models for NLU

fastspeech2 icon fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

inference icon inference

Reference implementations of inference benchmarks

keras-io icon keras-io

Keras documentation, hosted live at keras.io

keras-mmoe icon keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

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