acse-ww721
Follow
Stars
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。
Understanding vehicular routing behavior with location-based service data
Browser Extension to Sync Video Playback on All Video Platforms / 一起看视频浏览器插件，兼容所有平台
Python practice in the exellent book "Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Second Edition)"
Search by Colour. Find photos with matching palettes.
❤️中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
This repository is the reproducible code of the paper Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. This paper has been accepted in the NeurIPS 2023 W…
Play ChatGPT and other LLM with Xiaomi AI Speaker
Chinese Shopping Reviews sentiment analysis
Accelerate with CUDA, OpenACC and OpenMP - Unified and Performance Portable
Spatio-temporal Numerical Weather Forecasting Pipeline. It has the code for the introduced weather model architecture
Implementation of Convolutional LSTM in PyTorch.
On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.
This project aims to classify satellite images whether the images are of cyclonic or non-cyclonic weather. Later the dataset has been trained into cnn-lstm model to capture the sequence and predict…
Nowcasting refers to the short-term prediction of weather conditions, typically within the next few hours. This repository aims to leverage the power of ConvLSTM, which is a combination of Convolut…
Experiment various Deep Learning model (LSTM, RNN, CNN - Conv1D, GRU, and Transformer) to forecast Weather in a specific station and choose the best result
Unconventional use of CNNs to process structured data (bidimensional panel data: multimodal time-series) and predict next day's weather summary with 96% Accuracy. McGill MMA
Weather conditions forecast with LSTM-CNN model
Predicting Weather using CNN-LSTM
Deep learning for multi-year ENSO forecasts Reproduction
A benchmark dataset for data-driven weather forecasting