An enterprise-ready AI agent development platform combining intelligent RPA, enabling agents to not only think but also act—automating workflows across digital and desktop environments.

LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences

A database operations and data analysis AI agent

Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing …

WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition

Auto-Manage Your Personal Task Context with AI

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

A continuously updated project to track the latest progress in the field of multi-modal object tracking. This project focuses solely on single-object tracking.

Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.

Code for Tensorflow Machine Learning Cookbook

PromptEnhancer is a prompt-rewriting tool, refining prompts into clearer, structured versions for better image generation.

Single Shot MultiBox Detector in TensorFlow

Official Repository for Critical Assessment of Protein Engineering(CAPE)

official code for "Large Language Models as Optimizers"

An official implementation of DanceGRPO: Unleashing GRPO on Visual Generation

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

Generic U-Net Tensorflow implementation for image segmentation

Transcribe audio files using the "Whisper" Automatic Speech Recognition model from R

Deep Learning tutorials in jupyter notebooks.

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU support + Transfer Learning support

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Code for MOPO: Model-based Offline Policy Optimization

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 rep…

Easiest and laziest way for building multi-agent LLMs applications.