parroteffect's Stars
WongKinYiu/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
spcl/QuaRot
Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
YutongWangML/neurips2024-multiclass-IR-figures
RVC-Boss/GPT-SoVITS
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
derronqi/yolov8-face
yolov8 face detection with landmark
cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
cszn/FFDNet
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
oneTaken/Awesome-Denoise
One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
vis-opt-group/SCI
[CVPR 2022] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".
dawnlh/awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
massgravel/Microsoft-Activation-Scripts
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
Stability-AI/sd3.5
akanametov/yolo-face
YOLO Face 🚀 in PyTorch
vfleaking/max-margin
Code for the paper "Gradient Descent Maximizes the Margin of Homogeneous Neural Networks"
cxt2001/Neural-Collapse
This project aims to provide a clear and replicable implementation for understanding the Neural Collapse phenomenon in deep learning.
Fsoft-AIC/Cross-Entropy-Imbalanced
[ICML 2024] Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
Fsoft-AIC/Neural-Collapse-in-Deep-Linear-Networks
[ICML 2023] Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
ufoym/imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Lornatang/SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
FasterDecoding/Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
SNU-ARC/any-precision-llm
[ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
openvinotoolkit/nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
intel/neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
HanseulJo/fair-streaming-pca
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint (NeurIPS 2023)
HanseulJo/Alex-GDA
Fundamental Benefit of Alternating Uptades in Minimax Optimization (ICML 2024)
HanseulJo/position-coupling
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure (NeurIPS 2024) + Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count (arXiv preprint)
hustvl/PD-Quant
[CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
locuslab/edge-of-stability