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
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Official Code for DragGAN (SIGGRAPH 2023)
Let us control diffusion models!
💫 Industrial-strength Natural Language Processing (NLP) in Python
OpenMMLab Detection Toolbox and Benchmark
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
State-of-the-art 2D and 3D Face Analysis Project
GUI for a Vocal Remover that uses Deep Neural Networks.
Image-to-Image Translation in PyTorch
Graph Neural Network Library for PyTorch
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
☁️ Build multimodal AI applications with cloud-native stack
Open standard for machine learning interoperability
TranslatedNetflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team
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
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.