Pinned Repositories
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.
haolibai.github.io
My homepage.
PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Neural-Relational-Topic-Models
haolibai's Repositories
haolibai/Cross-Distillation
Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.
haolibai/APS-channel-search
Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
haolibai/haolibai.github.io
My homepage.
haolibai/APoT_Quantization
PyTorch implementation for the APoT quantization (ICLR 2020)
haolibai/bert
TensorFlow code and pre-trained models for BERT
haolibai/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.
haolibai/Can-we-Gain-More-from-Orthogonality
Official Implementation for https://arxiv.org/abs/1810.09102
haolibai/cpython
The Python programming language
haolibai/darts
Differentiable architecture search for convolutional and recurrent networks
haolibai/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
haolibai/dmcp
haolibai/dnn-quant-ocs
DNN quantization with outlier channel splitting
haolibai/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
haolibai/FreeLB
Adversarial Training for Natural Language Understanding
haolibai/GLUE-baselines
[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
haolibai/keras
Deep Learning for humans
haolibai/MetaPruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
haolibai/PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
haolibai/PolarizationPruning
ICML 2020 Anonymous Submission
haolibai/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
haolibai/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
haolibai/rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch)
haolibai/sam-textvqa
Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.
haolibai/TAKG
The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"
haolibai/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
haolibai/tensorrt-int8-python-sample
TensorRT Int8 Python version sample. TensorRT Int8 Python 实现例子。TensorRT Int8 Pythonの例です
haolibai/tmux.conf
Tmux 配置:打造最适合自己的终端复用工具
haolibai/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
haolibai/vim-janah
Vim colorscheme.
haolibai/vision
Datasets, Transforms and Models specific to Computer Vision