人像卡通化探索项目 (photo-to-cartoon translation project)
- cartoon
- deep-learning
- computer-vision
- gan
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人像卡通化探索项目 (photo-to-cartoon translation project)
Vector (and Scalar) Quantization, in Pytorch
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
Interactive Image Generation via Generative Adversarial Networks
A simple, easy-to-hack GraphRAG implementation
Python IDE for beginners
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Differentiable architecture search for convolutional and recurrent networks
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
Learning in infinite dimension with neural operators.
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Simple PyTorch Tutorials Zero to ALL!
Mastering Diverse Domains through World Models
Snips Python library to extract meaning from text
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)
Easiest and laziest way for building multi-agent LLMs applications.
OpenMMLab Pre-training Toolbox and Benchmark
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Lightweight library to build and train neural networks in Theano
Compute FID scores with PyTorch.