Personalwork Code, Opensource with GPLv2 License
根据投篮的位置，投篮手段，比赛时间等因素，预测单次投篮是否会命中。
SnapdragonLee
20558 条训练数据， 5139 条测试数据，共有 20 条属性，目标标签为 shot_made_flag。
Training Set：DataSet/Train.csv
Test Set：DataSet/Test.csv
roc_auc_score
Submission.zip (submission.txt) 以测试集数据为顺序，每一行记录模型预测出的命中概率
0.7133916302483058, Rank 3/22.
基于 XGBClassifier，具体可以查看 report.pdf 。
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking Updates 08/2021: check out our domain adaptation for video segmentation paper Domain A
Number recognition Recognize numbers from a 28 x 28 image using neural networks Usage This is an example of a simple usage of number-recognition NOTE:
AttnGAN Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative
Storchastic is a PyTorch library for stochastic gradient estimation in Deep Learning
This repo holds the code for our weak supervision framework, ASTRA, described in our NAACL 2021 paper: "Self-Training with Weak Supervision"
Stationary Diffusion State Neural Estimation Although many graph-based clustering methods attempt to model the stationary diffusion state in their obj
Hand Biomechanical Constraints Pytorch Unofficial PyTorch reimplementation of Hand-Biomechanical-Constraints (ECCV2020). This project reimplement foll
CLIP-Guided-Diffusion Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab. Original colab notebooks by Ka
DALLE2 Video (wip) ** only to be built after DALLE2 image is done and replicated, and the importance of the prior network is validated ** Direct appli
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Authors: Xiang Zhang (
TitlESP32 ESP32 MicroPython application to read and log data from a Tilt™ Hydrometer. Requirements A board with an ESP32 chip USB cable - USB A / micr
Dictionary Learning for Clustering on Hyperspectral Images Overview Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionari
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics This is the code implementation of the paper "ContIG: Self-s
AbelNN: Deep Learning Python module from scratch I have implemented several neural networks from scratch using only Numpy. I have designed the module
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer This repository contains code for our paper titled "When is BERT M
🐸 STT 0.9.x Examples These are various examples on how to use or integrate 🐸 STT using our packages. It is a good way to just try out 🐸 STT before
Introduction This is an implementation of our paper Supervised 3D Pre-training on Large-scale 2D Natural Image Datasets for 3D Medical Image Analysis.
Self-Knowledge Distillation with Progressive Refinement of Targets (PS-KD) Accepted at ICCV 2021, oral presentation Official PyTorch implementation of
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh
Stylegan2-Ada-Google-Colab-Starter-Notebook A no thrills colab notebook for training Stylegan2-ada on colab. transfer learning onto your own dataset h
17 Nov 30, 2022
2 Dec 29, 2021
1.2k Dec 26, 2022
140 Dec 30, 2022
148 Nov 20, 2022
33 Nov 24, 2022
59 Dec 20, 2022
336 Dec 09, 2022
105 May 15, 2022
5 Dec 01, 2022
6 Oct 25, 2022
22 Dec 13, 2022
2 Apr 12, 2022
9 Dec 23, 2022
92 Dec 19, 2022
24 Dec 06, 2022
61 Dec 28, 2022
44 Dec 14, 2022
66 Dec 16, 2022