lovelife94's Stars
google/comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
fastai/fastai
The fastai deep learning library
taichi-dev/taichi
Productive, portable, and performant GPU programming in Python.
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
microsoft/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
openai/guided-diffusion
microsoft/DeepSpeedExamples
Example models using DeepSpeed
Oneflow-Inc/oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
OpenGVLab/DragGAN
Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持Windows, macOS, Linux)
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
siliconflow/onediff
OneDiff: An out-of-the-box acceleration library for diffusion models.
zenustech/zeno
ZEn NOde system - a simulation & rendering engine in nodes
198808xc/Pangu-Weather
An official implementation of Pangu-Weather
xephonhq/awesome-time-series-database
:clock7: A curated list of awesome time series databases, benchmarks and papers
murufeng/awesome_lightweight_networks
The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
taichi-dev/taichi-nerfs
Implementations of NeRF variants based on Taichi + PyTorch
Azure/DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
jiwidi/time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
MAZiqing/FEDformer
EvilPsyCHo/Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
salesforce/DeepTime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
microsoft/FOST
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
dki-lab/Pangu
Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
InceptioResearch/itac
Inceptio Tsinghua-Air Challenge
aws-samples/amazon-sagemaker-predict-electricity-demand-with-custom-gluonts-container
Learn how to train and evaluate time series models with the Gluon TS library, and then deploy them for inference as a Multi-Model Server SageMaker endpoint using a custom SageMaker container.
sophon-ai-algo/contest-demos
demos for contest on Sophon Device
LeeSongt/SO-FAST
基于TPU实现人群密度估计