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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Official code release for "Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency"
Muon optimizer: +>30% sample efficiency with <3% wallclock overhead
A PyTorch implementation of the CycleGAN model for unpaired image translation
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Image-to-Image Translation in PyTorch
PyTorch implementations of Generative Adversarial Networks.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A curated list of recent diffusion models for video generation, editing, and various other applications.
A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models
Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET develo…
Automatically exported from code.google.com/p/word2vec
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Master programming by recreating your favorite technologies from scratch.
training a neural network to approximate the XOR function, demonstrating a neural network's ability to learn non-linear patterns.
Deep Neural Network For Skin Disease Identification
This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect players and the tennis ball using YOLO and also utilizes CNNs t…
Built a Custom Convolutional Neural Network Using Publicly available Dataset
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…