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FinRL-Meta: Dynamic datasets and market environments for FinRL.
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
[AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"
🚴 Call stack profiler for Python. Shows you why your code is slow!
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
The Open Source Feature Store for Machine Learning
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）
Financial chart built out of the box based on KLineChart.
An easier PyTorch deep reinforcement learning library.
Collect some World Models for Autonomous Driving (and robotic) papers.
A curated list of visual reinforcement learning resources
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
A Python toolbox for performing gradient-free optimization
A Python implementation of global optimization with gaussian processes.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Examples for https://github.com/optuna/optuna
Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
Simple PyTorch Tutorials Zero to ALL!
🏅 Collection of Kaggle Solutions and Ideas 🏅