Pinned Repositories
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
FATE
An Industrial Grade Federated Learning Framework
vega
AutoML tools chain
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
automl_zero
reproduce papers "AutoML-Zero: Evolving Machine Learning Algorithms From Scratch"
cs166
Stanford cs166 data structures
EfficientDetDetectron2
EfficientDet with Detectron2
learn
learning material
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorflow
An Open Source Machine Learning Framework for Everyone
qixiuai's Repositories
qixiuai/HAI
Learning AI in the hard approach
qixiuai/gaea_release
Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."
qixiuai/PyLeetCode
python library for leetcode
qixiuai/PyYOLOV4
A Python wrapper of YOLOV4 for both research and production purposes
qixiuai/netron
Visualizer for neural network, deep learning and machine learning models
qixiuai/detr
End-to-End Object Detection with Transformers
qixiuai/Disout
Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).
qixiuai/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
qixiuai/tasktorrent
A fast shared & distributed memory task-based runtime in C++
qixiuai/pycls
Codebase for Image Classification Research, written in PyTorch.
qixiuai/EfficientDetDetectron2
EfficientDet with Detectron2
qixiuai/COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
qixiuai/cpython
The Python programming language
qixiuai/SegmenTron
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
qixiuai/automl_zero
reproduce papers "AutoML-Zero: Evolving Machine Learning Algorithms From Scratch"
qixiuai/automl-1
qixiuai/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
qixiuai/federated
A framework for implementing federated learning
qixiuai/Brain-Tumor-Segmentation
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
qixiuai/tf_pointrend
tensorflow implementation for PointRend: Image Segmentation as Rendering
qixiuai/bazel_eigen
make eigen as a dependency with bazel
qixiuai/CME-213
CME 213 Introduction to parallel computing using MPI, openMP, and CUDA
qixiuai/PointRend
an numpy-based implement of PointRend
qixiuai/dlcc
deep learning in c++ for research purpose
qixiuai/autogluon
AutoGluon: AutoML Toolkit for Deep Learning
qixiuai/np_interp
isolate interp function from numpy source code
qixiuai/std-simd
std::experimental::simd for GCC [ISO/IEC TS 19570:2018]
qixiuai/CudaLearn
Learn CUDA
qixiuai/CAM
Class Activation Map with Pytorch
qixiuai/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.