okankop

okankop's Stars

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  31k2.6k01.7k

• myshell-ai/OpenVoice

  Instant voice cloning by MIT and MyShell. Audio foundation model.

  Language:Python30.4k2222643k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda25k2521412.8k

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python9.1k565481.5k

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.2k50222550

• OpenTalker/video-retalking

  [SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild

  Language:Python6.8k75248999

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.7k4583597

• yl4579/StyleTTS2

  StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

  Language:Python5.1k77205445

• facebookresearch/audio2photoreal

  Code and dataset for photorealistic Codec Avatars driven from audio

  Language:Python2.7k3162263

• PRIS-CV/DemoFusion

  Let us democratise high-resolution generation! (CVPR 2024)

  Language:Jupyter Notebook2k3444226

• Pointcept/Pointcept

  Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

  Language:Python1.8k20359194

• haoheliu/versatile_audio_super_resolution

  Versatile audio super resolution (any -> 48kHz) with AudioSR.

  Language:Python1.2k3061127

• facebookresearch/hiera

  Hiera: A fast, powerful, and simple hierarchical vision transformer.

  Language:Python939173747

• NUS-HPC-AI-Lab/Neural-Network-Parameter-Diffusion

  We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

  Language:Python849192545

• Text-to-Audio/Make-An-Audio

  PyTorch Implementation of Make-An-Audio (ICML'23) with a Text-to-Audio Generative Model

  Language:Python7637114112

• wyf0912/SinSR

  [CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step

  Language:Python381123123

• brentspell/hifi-gan-bwe

  Unofficial implementation of HiFi-GAN+ from the paper "Bandwidth Extension is All You Need" by Su, et al.

  Language:Python2099926

• slp-rl/aero

  This repo contains the official PyTorch implementation of "Audio Super Resolution in the Spectral Domain" (ICASSP 2023)

  Language:Python20863027

• xiongyihui/tdoa

  TDOA based on GCC-PHAT

  Language:Python1756865

• rishikksh20/HiFiplusplus-pytorch

  HiFi++: a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement

  Language:Python15412619

• JusperLee/SPMamba

  Language:Python14332119

• idiap/acoustic-simulator

  Implementation of audio degradation processes

  Language:Python10115236

• NXTProduct/TUNet

  Language:Python541516

• tum-traffic-dataset/tum-traffic-dataset-dev-kit

  TUM Traffic Dataset Development Kit

  Language:Python542137

• tteepe/EarlyBird

  Official Code for "EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View"

  Language:Python44153

• idiap/nnsslm

  Neural Network based Sound Source Localization Models

  Language:Python33629

• tteepe/TrackTacular

  Official Code for "Lifting Multi-View Detection and Tracking to the Bird’s Eye View"

  Language:Python323115

• Martlgap/livefaceidapp

  Simple Live Face Recognition Streamlit App

  Language:Python292411

• Blueblue4/IoU-AwareCalibration

  Code to reproduce the experiments described in "Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration" (https://arxiv.org/pdf/2309.03110.pdf)

  Language:Python14121

• teo-sl/Audio-Super-Resolution-ViT

  This repository contains the source code for the implementation of two deep learning models concerning the audio super resolution task.

  Language:Jupyter Notebook13102