leochen1234321

hil-serl

CONTIME

Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization

torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

NeuralCDE

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

DyNODE

DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

Neural-ODE-Experiments

This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

Optimal-Control-via-Neural-Networks

Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach

OpenHands

🙌 OpenHands: Code Less, Make More

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

cvxpylayers

Differentiable convex optimization layers

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

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

ChatGPT-Prompt-Engineering-for-Developers-in-Chinese

《面向开发者的 ChatGPT 提示词工程》非官方版中英双语字幕 Unofficial subtitles of "ChatGPT Prompt Engineering for Developers"

GPT_API_free

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

open-webui

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

ollama

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

ChatGPT-Next-Web

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

LSTM_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

LSTM-XGBoost-Hybrid-Forecasting

LSTM-XGBoost Time Series Forecasting

Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.