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apot_quantization

PyTorch implementation for the APoT quantization (ICLR 2020)

aps-channel-search

Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020

bert

TensorFlow code and pre-trained models for BERT

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

can-we-gain-more-from-orthogonality

Official Implementation for https://arxiv.org/abs/1810.09102

cpython

The Python programming language

cross-distillation

Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.

darcula

VIM Darcula Theme

darts

Differentiable architecture search for convolutional and recurrent networks

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

dmcp

dnn-quant-ocs

DNN quantization with outlier channel splitting

examples

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

freelb

Adversarial Training for Natural Language Understanding

glue-baselines

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

haolibai.github.io

My homepage.

keras

Deep Learning for humans

metapruning

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

polarizationpruning

ICML 2020 Anonymous Submission

pretrained-language-model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch)

sam-textvqa

Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.

takg

The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"

tensorflow

Computation using data flow graphs for scalable machine learning

tensorpack

A Neural Net Training Interface on TensorFlow

tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tensorrt-int8-python-sample

TensorRT Int8 Python version sample. TensorRT Int8 Python 实现例子。TensorRT Int8 Pythonの例です

tmux.conf

Tmux 配置：打造最适合自己的终端复用工具