Popular GitHub Repositories for Ace Step

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Kodu is an autonomous coding agent that lives in your IDE. It is a VSCode extension that can help you build your dream project step by step by leveraging the latest technologies in automated coding agents

The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.

Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

MindSpore online courses: Step into LLM

[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Deeper Seeker is an simpler OSS version of OpenAI's latest Deep Research feature in ChatGPT.It is an agentic research tool to reason , create multi step tasks , synthesize data from multiple online resources and create neat reports

Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection