mandelbrot-walker's Stars
JaryHuang/awesome_SSD_FPN_GIoU
This repository carries out some paper recurring work
jrieke/traingenerator
🧙 A web app to generate template code for machine learning
junqiangchen/VNetFamily
Variant VNet family
sovrasov/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
tensorflow/models
Models and examples built with TensorFlow
louisfb01/Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
markWJJ/Multitask-Learning
Ravoxsg/A_chronology_of_deep_learning
Tracing back and exposing in chronological order the main ideas in the field of deep learning, to help everyone better understand the current intense research in AI.
google/svcca
telecombcn-dl/lectures-all
Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
yazdotai/machine-learning-video-courses
Comprehensive list of machine learning videos
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
mmp2/megaman
megaman: Manifold Learning for Millions of Points
implus/PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
kemaloksuz/aLRPLoss
Official PyTorch Implementation of aLRP Loss [NeurIPS2020]
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
namhoonlee/snip-public
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
sjmikler/SNIP-pruning
Reproduction and analysis of SNIP paper
mil-ad/snip
Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch
Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)
ARM-software/mango
Parallel Hyperparameter Tuning in Python
Information-Fusion-Lab-Umass/Salient-Pedestrian-Detection
Tencent/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
fyu/drn
Dilated Residual Networks
facebookresearch/pycls
Codebase for Image Classification Research, written in PyTorch.
jhorwath/CNN_for_TEM_Segmentation
Python scripts for data set preparation and CNN training/inference
hiplot/deep-medicine
A curated list of resources of machine learning related datasets and open-source models for biomedicine.
xiaoketongxue/AI-News
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.