dl
There are 478 repositories under dl topic.
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
apachecn/.github
ApacheCN 开源组织:公告、介绍、成员、活动、交流方式
tobegit3hub/advisor
Open-source implementation of Google Vizier for hyper parameters tuning
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
CodeChefVIT/resources
This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.
XWHQSJ/ebooks
A repository for ebooks, including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL
foochane/books
整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。
kzbkzb/Python-AI
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch
neptune-ai/neptune-client
📘 The MLOps stack component for experiment tracking
ashishpatel26/Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
aimi-cn/AILearners
机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有:机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战
Dyakonov/DL
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
Nachimak28/awesome-list-of-awesomes
A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
Kaleidophon/deep-significance
Enabling easy statistical significance testing for deep neural networks.
aaaastark/Data-Scientist-Books
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
martin-olivier/dylib
C++ cross-platform wrapper around dynamic loading of shared libraries (dll, so, dylib)
geekjr/quickai
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
Julian-Wyatt/AnoDDPM
CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
narender-rk10/MyProctor.ai-AI-BASED-SMART-ONLINE-EXAMINATION-PROCTORING-SYSYTEM
This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
chehongshu/DL-tenserflow
:alien:Tensorflow realizes deeplearning
rsnk96/Ubuntu-Setup-Scripts
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
Opendigitalradio/dablin
DAB/DAB+ receiver for Linux (including ETI-NI and EDI AF playback)
gongxijun/ocr_recognition
验证码识别,该模型是基于xlvector模型上进行加工,验证码内容包含了大小字母以及数字,采用lstm+warp-ctc+cnn达到不分割字符而识别验证码内容~
ouceduxzk/Fine_Grained_Classification
Fined grained classification On Car dataset
udzura/rbbcc
BCC port for MRI - this is unofficial bonsai project.
AlonLahav/MeshWalker
MeshWalker implementation
AlexSWong/COVID-Net
Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.
barakagb/gb-dl
A python based utility to download courses from infosec4tc.teachable.com , academy.ehacking.net and stackskills.com for personal offline use.
cjmcv/deeplearning-paper-notes
Reading notes on deep learning papers---深度学习论文阅读笔记
shrutisaxena51/Artificial-Intelligence-in-Compiler-Optimization
A curated list of research papers, datasets, and tools for applying machine learning/Deep learning techniques to compilers and program optimization.
NoteDance/Note
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
lukoshkin/text2video
Text to Video Generation Problem
ashishpatel26/Meta-Learning-
Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
hollobit/COVID-19-AI
Collection of AI resources to fight against Coronavirus (COVID-19)
prateekralhan/Cheatsheets-for-AI
Cheatsheets on numerous topics ranging from DataScience | ML | DL | AI | Big Data.