ai agents for trading

Open-source swarm intelligence engine — simulate hundreds of AI agents to predict outcomes. Includes MCP server for Claude.

Official Implementation of KDD‘26 ADS：The Best of Both Worlds: Harmonized Semantic and Hash IDs for Sequential Recommendation

Pad and unpad variable-length (ragged) tensors efficiently with Triton in PyTorch

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

A Flexible Framework for Generative Recommendation

Robust recipes to align language models with human and AI preferences

A PyTorch native library for large model training

This is the official PyTorch implementation for the paper

Fast and memory-efficient exact attention

Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.

Fast and memory-efficient exact attention

Accelerate, Optimize performance with streamlined training and serving options with JAX.

A PyTorch native library for training speculative decoding models

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

Protobuf VS FlatBuffers VS Json序列化比较

Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

Rust bindings for the C++ api of PyTorch.

A Gym for Agentic LLMs

Sky-T1: Train your own O1 preview model within $450

Example models using DeepSpeed

group project of polyu comp5517, job finding assistant via LLM

PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm

AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.

Rust bindings for XGBoost.