htrvu
"If you can't do great things, do small things in a great way"
SELab, HCMUSHo Chi Minh City, Vietnam
htrvu's Stars
black-forest-labs/flux
Official inference repo for FLUX.1 models
facebookresearch/sam2
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 the model.
mikf/gallery-dl
Command-line program to download image galleries and collections from several image hosting sites
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Wan-Video/Wan2.1
Wan: Open and Advanced Large-Scale Video Generative Models
Doubiiu/ToonCrafter
[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation
yisol/IDM-VTON
[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
ImagineAILab/ai-by-hand-excel
tencent-ailab/V-Express
V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
lizhe00/AnimatableGaussians
Code of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
kennethleungty/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
NVlabs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
NVIDIA/TensorRT-Model-Optimizer
A unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.
quic/ai-hub-models
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Alpha-VLLM/Lumina-mGPT
Official Implementation of "Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining"
erwold/qwen2vl-flux
mit-han-lab/deepcompressor
Model Compression Toolbox for Large Language Models and Diffusion Models
bfshi/scaling_on_scales
When do we not need larger vision models?
wooyeolbaek/attention-map-diffusers
🚀 Cross attention map tools for huggingface/diffusers
mlpc-ucsd/TokenCompose
(CVPR 2024) 🧩 TokenCompose: Text-to-Image Diffusion with Token-level Supervision
htyjers/StrDiffusion
[CVPR 2024] Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
adobe/PIH
bangoc123/protonx-ai-app-UI
rohitrango/beyond-map
[CVPR 2023 Highlight] Beyond mAP: Towards better evaluation of instance segmentation
NguyenHiu/ArgoX-Implementation
An implementation of a new approach in DEX. It combines the Lightning Network (state channels) and batching mechanisms to increase speed and throughput while reducing the gas usage of the exchange.
synth-e/synthlab-core
A base framework for modular deisgned app
nbtin/fakenews-detection-demo
A web-app provides users with insights and relevant information to help them analyze and classify fake news.
frankielp/MathsAI
Mathematics Foundation for AI