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100-days-of-ml-code

100 Days of ML Coding

activitynet

This repository is intended to host tools and demos for ActivityNet

ava-dataset

The AVA dataset densely annotates 80 atomic visual actions in 351k movie clips with actions localized in space and time, resulting in 1.65M action labels with multiple labels per human occurring frequently.

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

awesome_underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

centernet2

Two-stage CenterNet

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

copy-paste-aug

Copy-paste augmentation for segmentation and detection tasks

cotere-net

cv_project

the project for cv class

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

hello-world

Just another repository

leecode

mengzi-bert-base-fin

Mengzi Pretrained Models

mmdetection

Open MMLab Detection Toolbox and Benchmark

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

mycode

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

noaa-fish-finding

Intern project at Institude of Information Science, Academia Sinica

paddlenlp

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

resnest

ResNeSt: Split-Attention Networks

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

universenet

Object detection. EfficientDet-D5 level COCO AP in 20 epochs. SOTA single-stage detector on Waymo Open Dataset.

viscnn_cvpr_2016_loc

A PyTorch implementation of paper "Learning Deep Features for Discriminative Localization"

x-temporal

A general video understanding codebase from SenseTime X-Lab