Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Deep Learning for humans
Deepfakes Software For All
Official Code for DragGAN (SIGGRAPH 2023)
💫 Industrial-strength Natural Language Processing (NLP) in Python
GUI for a Vocal Remover that uses Deep Neural Networks.
Image-to-Image Translation in PyTorch
Graph Neural Network Library for PyTorch
Open standard for machine learning interoperability
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
PyTorch implementations of Generative Adversarial Networks.
Topic Modelling for Humans
Machine learning, in numpy
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A MNIST-like fashion product database. Benchmark :point_down:
🐍 Geometric Computer Vision Library for Spatial AI
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
pix2code: Generating Code from a Graphical User Interface Screenshot
Low-code framework for building custom LLMs, neural networks, and other AI models
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
TranslatedTranslate manga/image: one-click translation of text in all kinds of images https://cotrans.touhou.ai/ (no longer working)