PhiDCH's Stars
opencv/opencv
Open Source Computer Vision Library
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
matplotlib/matplotlib
matplotlib: plotting with Python
microsoft/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
tensorflow/examples
TensorFlow examples
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
google/automl
Google Brain AutoML
dmlc/gluon-cv
Gluon CV Toolkit
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
tensorflow/federated
A framework for implementing federated learning
ankush-me/SynthText
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
NVIDIA/semantic-segmentation
Nvidia Semantic Segmentation monorepo
python-control/python-control
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
casadi/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
freereadorg/awesome-libgen
😎 Awesome list of Library Genesis, the world's largest free library.
CoinCheung/BiSeNet
Add bisenetv2. My implementation of BiSeNet
yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
xiaoyufenfei/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
shariqfarooq123/AdaBins
Official implementation of Adabins: Depth Estimation using adaptive bins
readthedocs/sphinx-autoapi
A new approach to API documentation in Sphinx.
paperswithcode/axcell
Tools for extracting tables and results from Machine Learning papers
vinbigdata-medical/vindr-lab
A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.
paperswithcode/sota-extractor
The SOTA extractor pipeline
zldrobit/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
marload/aquvitae
Knowledge Distillation Toolkit
dovietchinh/via-laneline-segmentation
PhiDCH/ADP-control