There are 10 repositories under dl topic.
This is Andrew NG Coursera Handwritten Notes.
Open-source implementation of Google Vizier for hyper parameters tuning
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.
A repository for ebooks, including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL
📘 The experiment tracker for foundation model training
A curated list of applied machine learning and data science notebooks and libraries across different industries.
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
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.)
A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
Enabling easy statistical significance testing for deep neural networks.
C++ cross-platform wrapper around dynamic loading of shared libraries (dll, so, dylib)
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
DAB/DAB+ receiver for Linux (including ETI-NI and EDI AF playback)
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~
Fined grained classification On Car dataset
A curated list of research papers, datasets, and tools for applying machine learning/Deep learning techniques to compilers and program optimization.
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models
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.
A python based utility to download courses from infosec4tc.teachable.com , academy.ehacking.net and stackskills.com for personal offline use.
Reading notes on deep learning papers---深度学习论文阅读笔记
Text to Video Generation Problem
Cheatsheets on numerous topics ranging from DataScience | ML | DL | AI | Big Data.
Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
Collection of AI resources to fight against Coronavirus (COVID-19)