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Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in Pytorch
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A Bangla license plates dataset (synthetic), generated with a mixture of deep learning and image processing. The labels are in darknet yolo format. [.txt, .data, .names]
Muzic: Music Understanding and Generation with Artificial Intelligence
A curated list of awesome neural radiance fields papers
A certification method for cost-sensitive robustness based on randomized smoothing
A research project for natural language generation, containing the official implementations by MSRA NLC team.
Implementation of paper 'Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models'
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
[CVPR 2023] Unifying Short and Long-Term Tracking with Graph Hierarchies
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
LoRA fine-tuned Stable Diffusion Deployment
Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Using Low-rank adaptation to quickly fine-tune diffusion models.
A latent text-to-image diffusion model
High-Resolution Image Synthesis with Latent Diffusion Models
This repository contains the initial implementation of pre-processing for the VITON dataset, which is the most commonly utilized dataset for virtual try-on tasks.
EVA Series: Visual Representation Fantasies from BAAI
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
A toolkit for making real world machine learning and data analysis applications in C++