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automatic-mixed-precision-tutorials-pytorch

Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.

awesome-skeleton-based-action-recognition

Skeleton-based Action Recognition

awkward-array

Manipulate arrays of complex data structures as easily as Numpy.

branchynet

cardioml

Arnaout Lab

centernet-1

Object detection, 3D detection, and pose estimation using center point detection:

centernet-better

An easy to understand and better performance version of CenterNet

centernetcpp

centerNet Caffe inference CPP

centerx

This repo is implemented based on detectron2 and centernet

chineseocr

yolo3+ocr

clean-code-python

:bathtub: Clean Code concepts adapted for Python

cplusplus

最全面的 C++ 笔记

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cv-detect-robot

🔥🔥🔥🔥🔥🔥yolov5+YOLOX+yolo+tensorRT+ros+deepstream+jetson+nano+TX2+NX for High-performance deployment(高性能部署)

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

dcnv2

Deformable Convolutional Networks v2 (DCNv2) with Pytorch 1.8+ & JIT Compilation

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-person-search

deep-person-search: deep learning person search in PyTorch.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

dl-visualization

This is the source code for the animations in the series "Visualizing Deep Learning"

dreamdiffusion

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

facetrack_ncnn_hyperft

使用mtcnn和o网络跟踪+光流跟踪进行多目标人脸跟踪，单目标人脸光流跟踪是0.5ms左右

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fine-tuned-berts-seq

Fine-tuned Transformers compatible BERT models for Sequence Tagging

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

greyclassifier

CS_IOC5008 Visual Recognition using Deep Learning: Image Classification for grey natural scene images with <4000 annotated data

hands-on-artificial-intelligence-for-banking

Hands-On Artificial Intelligence for Banking, published by Packt

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem