Melt's starred repositories

LFSA

A Deep Learning Model based on CLIP for Text Based Person Search

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languagetool

Style and Grammar Checker for 25+ Languages

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TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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google-research

Google Research

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EfficientSAM

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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calculate-flops.pytorch

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

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GPT-SoVITS

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

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DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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SimpleFPSTemplate

Simple C++ FPS Template for Unreal Engine

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godot

Godot Engine – Multi-platform 2D and 3D game engine

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the-art-of-command-line

Master the command line, in one page

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SegFormer

Official PyTorch implementation of SegFormer

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GroundingDINO

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

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Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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CORA

A DETR-style framework for open-vocabulary detection (OVD). CVPR 2023

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CLIP_benchmark

CLIP-like model evaluation

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deformable-detr-annotations

一个deformable-detr的中文注释版本,供大家参考学习(A Chinese annotated version of deformable-detr)

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DiffusionDet

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

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Sparse4D

Sparse4D v1 & v2

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bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

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BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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yolov7-opencv-onnxrun-cpp-py

分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测,一共包含14个onnx模型,依然是包含C++和Python两个版本的程序

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CFNet

Unofficial reimplementation of CFNet: Cascade Fusion Network for Dense Prediction

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sapa

(NeurIPS'22) SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

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dysample

(ICCV'23) Learning to Upsample by Learning to Sample

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sapa

(arXiv'23) On Point Affiliation in Feature Upsampling; the extension of (NeurIPS'22) SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

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objectdetection_script

一些关于目标检测的脚本的改进思路代码,详细请看readme.md

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