cjewelz's repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
CnOCR
CnOCR: Awesome Chinese/English OCR toolkits based on PyTorch/MXNet, It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTorch/MXNet 的中文/英文 OCR Python 包。】
cocoapi
Contains the "pycocotools" package on PyPI. Changes made to the official cocoapi about packaging.
detr
End-to-End Object Detection with Transformers
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
EasyCV
An all-in-one toolkit for computer vision
Efficient-Computing
Efficient computing methods developed by Huawei Noah's Ark Lab
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
mmcv
OpenMMLab Computer Vision Foundation
mmengine
OpenMMLab Foundational Library for Training Deep Learning Models
mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
mmyolo
OpenMMLab YOLO series toolbox and benchmark
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
TensorRT-10.1
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information