ngctnnnn's Stars
labmlai/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, ... 🧠
facebookresearch/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.
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
facebookresearch/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Alpha-VLLM/LLaMA2-Accessory
An Open-source Toolkit for LLM Development
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
eric-ai-lab/MiniGPT-5
Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens"
kthohr/optim
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
YichiZhang98/SAM4MIS
SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary
google/pyglove
Manipulating Python Programs
openmedlab/MedLSAM
MedLSAM: Localize and Segment Anything Model for 3D Medical Images
richard-peng-xia/awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
smistad/FAST
A framework for high-performance medical image processing, neural network inference and visualization
AllentDan/LibtorchSegmentation
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Jianing-Qiu/Awesome-Healthcare-Foundation-Models
tscohen/GrouPy
Group Equivariant Convolutional Neural Networks
kyegomez/Med-PaLM
Towards Generalist Biomedical AI
HUANGLIZI/LViT
[IEEE Transactions on Medical Imaging/TMI] This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"
cooperka/emoji-commit-messages
🌵 A fun paradigm to encourage cleaner commits.
VietnamAIHub/Vietnamese_LLMs
Dự án bao gồm: 1. Xây dựng bộ dữ Instructions Vietnamese (chất lượng, nhiều, và đa dạng). 2.LLM Training, Finetuning, Evaluating & Testing trên Open-source mô hình ngôn ngữ: Bloomz,T5, UL2, LLaMA (1&2), OpenLLaMA, GPT-J pythia etc. 3. Ứng dụng và Giao diện Người dùng (UI)
duyhominhnguyen/LVM-Med
Release LMV-Med pre-trained models
yifangao112/DeSAM
The official repository for DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation.
xhu248/AutoSAM
finetuning SAM with non-promptable decoder on medical images
11yxk/SAM-LST
Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.
df-boy/SGTNet
Codes for MICCAI 2023 paper: 3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer
tien02/llm-math
Fine tune Large Language Model on Mathematic dataset
ngctnnnn/dl_cpp
Simple tasks made with C++ for optimizing Computer Vision programs using Deep Learning
ngctnnnn/evo_optim_cpp
Implement evolution algorithms to optimize so-called test functions in C++