Mr.Rang's repositories
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
bert
TensorFlow code and pre-trained models for BERT
ControlNet
Let us control diffusion models!
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
elsarticle
Elsevier template 'elsarticle'.
FasterTransformer
Transformer related optimization, including BERT, GPT
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Ipopt
COIN-OR Interior Point Optimizer IPOPT
linux-1
Linux kernel source tree
linux_kernel_wiki
linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频
llama
Inference code for LLaMA models
llama.cpp
LLM inference in C/C++
llm.c
LLM training in simple, raw C/CUDA
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
open-gpu-doc
Documentation of NVIDIA chip/hardware interfaces
OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
qpOASES
Open-source C++ implementation of the recently proposed online active set strategy
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Semantic-SAM
Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Semantic-Segment-Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
stable-diffusion
A latent text-to-image diffusion model
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
thrust
The C++ parallel algorithms library.
torch2trt
An easy to use PyTorch to TensorRT converter
vitlld
The data and Code of "ViT with diamond patches for lane line detection under occlusion"
xtreme1
Xtreme1 - The Next GEN Platform for Multimodal Training Data. #3D annotation, lidar-camera fusion annotation, image annotation and visualation tools are supported!