Joserxu

Joserxu's Stars

• argusswift/YOLOv4-pytorch

  This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

  Language:Python1.7k329

• koba-jon/pytorch_cpp

  Deep Learning sample programs using PyTorch in C++

  Language:C++24953

• cheind/py-motmetrics

  :bar_chart: Benchmark multiple object trackers (MOT) in Python

  Language:Python1.4k258

• ifzhang/FairMOT

  [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

  Language:Python4k932

• tryolabs/norfair

  Lightweight Python library for adding real-time multi-object tracking to any detector.

  Language:Python2.4k250

• xiao9616/yolo4_tensorflow2

  yolo 4th edition implemented by tensorflow2.0

  Language:Python19061

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.4k2.9k

• Alpha-Video/AlphaVideo

  Vision toolbox for video related tasks including action recognition, multi-object tracking.

  Language:Python21121

• uber/neuropod

  A uniform interface to run deep learning models from multiple frameworks

  Language:C++93777

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46k

• cvat-ai/cvat

  Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

  Language:Python12.9k3.1k

• zylo117/Yet-Another-EfficientDet-Pytorch

  The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

  Language:Jupyter Notebook5.2k1.3k

• Jittor/jittor

  Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

  Language:Python3.1k314

• anishathalye/neural-style

  Neural style in TensorFlow! 🎨

  Language:Python5.5k1.5k

• alrra/dotfiles

  💻 macOS / Ubuntu dotfiles

  Language:Shell1.5k296

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook22.3k8.5k

• missing-semester/missing-semester

  The Missing Semester of Your CS Education 📚

  Language:CSS5k1.2k

• google/trax

  Trax — Deep Learning with Clear Code and Speed

  Language:Python8.1k820

• IgorSusmelj/pytorch-styleguide

  An unofficial styleguide and best practices summary for PyTorch

  Language:Python1.9k173

• donnyyou/torchcv

  TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

  Language:Shell2.2k376

• USTC-Resource/USTC-Course

  :heart:**科学技术大学课程资源

  Language:C++15.1k3.5k

• kxxwz/SJTU-Courses

  上海交通大学课程资料分享

  8.6k2.2k

• QSCTech/zju-icicles

  浙江大学课程攻略共享计划

  Language:HTML37.6k9.5k

• krocki/dnc

  Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

  Language:Python412121

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k3.4k

• jantic/DeOldify

  A Deep Learning based project for colorizing and restoring old images (and video!)

  Language:Python18.1k2.6k

• karpathy/pytorch-normalizing-flows

  Normalizing flows in PyTorch. Current intended use is education not production.

  Language:Jupyter Notebook84798

• vlgiitr/papers_we_read

  Summaries for exciting works in the field of Deep Learning.

  34766

• leandromoreira/digital_video_introduction

  A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

  Language:Jupyter Notebook15.6k1.3k

• dragen1860/TensorFlow-2.x-Tutorials

  TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

  Language:Jupyter Notebook6.4k2.2k