머신러닝 · GitHub

Source code and datadset for "Deep learning algorithm for feature matching of cross modality remote sensing images"

Pytorch version of Realtime Multi-Person Pose Estimation project

Advanced High Performance Data Science Toolbox for R by Laurae

Livermore Big Artificial Neural Network Toolkit

This project was a joint effort by Lucas De Oliveira, Chandrish Ambati, and Anish Mukherjee to create a song and playlist embeddings for recommendations in a distributed fashion using a 1M playlist dataset by Spotify.

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Nerual Network of Stochastic Computing for MNIST Recognition

A collection of analytics methods implemented with Python on Google Colab

(Mirror) A Machine-to-Machine Interaction System for Lean 4

1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.

Annotated Flow Matching paper

this is all of my code and data with my deep learning note

It is a simple library to speed up CLIP inference up to 3x (K80 GPU)

Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.

Pytorch implementation for A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose

All the cheat sheets you need as a novice machine learning engineer

Sentence Classifications with Neural Networks

A really more real-time adaptation of deep sort

pytorch implementation of Attention is all you need

李沐 【动手学深度学习v2 PyTorch版】课程学习笔记，更正了AccumulateMore笔记的部分错误，从更加初级的角度做了部分内容补充

Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

OCR, CNN+LSTM (CTPN) for image text detection, tensorflow

DSNet: A Flexible Detect-to-Summarize Network for Video Summarization