ShipXu

computation_theory

Projects for the computation theory class, HITSZ, authored by Ship Xu and Xiaohan Hou.

CSAPP-lab

CSAPP学习资料和实验资料

WXCS_DB

A competition code about Database for the CCF Big Data & Computing Intelligence Contest.

Auto-Wjx-Answer

项目的主要目的就是自动完成问卷星调查报告

AutoFIS

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Anakin

High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.

AutoDL

DeepWisdom's 1'st Solution for AutoDL challenge. Automated Deep Learning without ANY human intervention. Generic algorithms for multi-label classification problems in different modalities: image, video, speech, text and tabular data.

awesome-architecture-search

A curated list of awesome architecture search resources

c_cpp_demos

coreutils

upstream mirror

darts

Differentiable architecture search for convolutional and recurrent networks

dbg-macro

A dbg(…) macro for C++

DenseNAS

Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

google-research

Google Research

hardware-aware-transformers

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

klee

KLEE Symbolic Execution Engine

LeetCode

Markdown-Resume

⭐️ Markdown 简历模版

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

nni

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

PointsTrackDemo

首届“马栏山”杯国际音视频算法大赛图像赛道demo

SeanXu.github.io

SICP-python

经典系列课程SICP的python版本，实现以及各种资料

standard-readme

Standard Readme Style

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stp

Simple Theorem Prover, an efficient SMT solver for bitvectors

thu-cst-cracker

清华大学计算机系课程攻略

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.