A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.

TradingAgents: Multi-Agents LLM Financial Trading Framework

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等

An Attention-Based User Behavior Modeling Framework for Recommendation

Asynchronous Stochastic Gradient Descent with Delay Compensation

High performance server-side application framework

Benchmarks of approximate nearest neighbor libraries in Python

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

《Python Cookbook》 3rd Edition Translation

Must-read papers on network representation learning (NRL) / network embedding (NE)

Succinct Data Structure Library 2.0

ActiveState Code Recipes

Memory Networks implementations

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

"Neural Turing Machine" in Tensorflow

Tensorflow implementation of attention mechanism for text classification tasks.

Deep Learning Architecture Genealogy Project

TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)

Collection of Deep Reinforcement Learning algorithms

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

A universal and efficient framework for training well-performing light net

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

This code is written for the blogs

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

TensorFlow tutorials and best practices.

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Learning to Learn in TensorFlow