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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
Sunshine fork: an enhanced sunshine, a self-hosted game streaming host for Moonlight with HDR10/HDR Vivid, virtual displays, advanced audio, optimized encoders, and a modern control panel.
A Collection of Variational Autoencoders (VAE) in PyTorch.
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
[CVPR2020] Adversarial Latent Autoencoders
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
A library of sklearn compatible categorical variable encoders
Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"
Cross-platform command-line AV1 / VP9 / HEVC / H264 encoding framework with per scene quality encoding
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3). Also a pip-installable PyTorch + Triton package with pretrained Sonata, Concerto, and Utonia encoders.
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Implementation of Graph Auto-Encoders in TensorFlow
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
FastFlix is a free GUI for H.264, HEVC and AV1 hardware and software encoding!
Training Sparse Autoencoders on Language Models
An ActionScript 3 Library that contains a number of classes and utilities for working with ActionScript? 3. These include classes for MD5 and SHA 1 hashing, Image encoders, and JSON serialization as well as general String, Number and Date APIs.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
Cryptography-related format encoders/decoders: DER, PEM, PKCS, PKIX
MicroPython module to read a rotary encoder.
Dyno Lab — an AI safety, alignment and interpretability research workbench for Apple Silicon. Explore activations, probes, SAEs and interventions with local inference, a Python SDK, APIs and MCP.