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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

abseil-cpp

Abseil Common Libraries (C++)

active-learning

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2021

aster.pytorch

ASTER in Pytorch

awesome-uncertainty-deeplearning

bdd100k

This repo has been moved to https://github.com/bdd100k/bdd100k permanently.

bisenet

Add bisenetv2. My implementation of BiSeNet

bisenetv2-tensorflow

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

bullshitgenerator

Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.

caffe

Caffe: a fast open framework for deep learning.

cameratraps

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

chr

SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR 2019

controlnet

Let us control diffusion models!

convnet

A GPU implementation of Convolutional Neural Nets in C++

cs-self-learning

计算机自学指南

cuda-programming

Sample codes for my CUDA programming book

cuda_hgemm

Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-

just for self trainning

deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

deepcut

Multi Person Pose Estimation

deepcut-cnn

CNN architecture for articulated human pose estimation

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeedexamples

Example models using DeepSpeed