30-days-of-ml-kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

adverse_weather_problems

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

complete-deep-learning-with-materials

cvpr22_vplow_ow

daily_codes

deep-expander-networks

Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

detr

End-to-End Object Detection with Transformers

fashion_mnist

Fashion mnist Classification in pytorch

furqan7007

furqan7007.github.io

Build a Jekyll blog in minutes, without touching the command line.

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

idd-lite-example-code

iddaw_kit

Complete code kit for IDDAW

internimage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

ml-code

Daily practice codes of ML

ml_papers

ML_paper_summary(in Japanese)

nashpy

A library for the computation of Nash equilibria in two player games

paper-notes

List of papers read and a brief description of them

paper_annotations

A place to keep track of all the annotated papers.

plotneuralnet

Latex code for making neural networks diagrams

practical-nlp-code

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

scnet

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

seg_video_gen