Deep Learning Book Chinese Translation
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepFaceLab is the leading software for creating deepfakes.
The best design tools and plugins for everything
The most cited deep learning papers
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Books for machine learning, deep learning, math, NLP, CV, RL, etc
AI Based COVID-19 Tracker using Deep Learning and facial recognition.
Keeping it safe - AI Based COVID-19 Tracker using Deep Learning and facial recognition
deep learning for image processing including classification and object-detection etc.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
DeepFaceLab is the leading software for creating deepfakes.
PyTorch Tutorial for Deep Learning Researchers
A Deep-Learning Chess Engine with some awesome features
Machine Learning and Deep Learning lessons.
Natural language processing (NLP) is an exciting branch of artificial intelligence (AI) that allows machines to break down and understand human language. I plan to walk through text pre-processing techniques, machine learning techniques and Python libraries for NLP. Text pre-processing techniques include tokenization, text normalization and data cleaning. Once in a standard format, various machine learning techniques can be applied to better understand the data. This includes using popular modeling techniques to classify emails as spam or not, or to score the sentiment of a tweet on Twitter. Newer, more complex techniques can also be used such as topic modeling, word embeddings or text generation with deep learning. We will walk through an example in Jupyter Notebook that goes through all of the steps of a text analysis project, using several NLP libraries in Python including NLTK, TextBlob, spaCy and gensim along with the standard machine learning libraries including pandas and scikit-learn.
Developed using Pybullet, OpenCV and Deep Learning
This project contains codes for solving complex problems with Spark. It also shows extension of new libraries and API with Spark such as Deep Learning with Spark, Geo-spatial analytics with Spark etc
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Código del libro Deep Learning Teoría y aplicaciones
Explaining the genetic causality for complex diseases by deep association kernel learning
Build text classifiers using 3 most popular machine learning / deep learning frameworks - Scikit-learn, PyTorch, TensorFlow
Repositório dedicado à controlar as versões dos códigos do projeto de iniciação científica desenvolvido por mim em 2020/2021 com foco em Deep Learning
A Discord bot started as a community project for Hacktoberfest 2018, later evolved to an introductory project for aspiring new developers starting out with open source development.
This repository contains my assignment submissions including datasets, code, documentation and results.
Medical image analysis framework merging ANTsPy and deep learning
Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional accumulated gradient and NVIDIA DALI dataloader.
A learning record of my course for deep learning
Keeping it safe - AI Based COVID-19 Tracker using Deep Learning and facial recognition
A simple but powerful anime downloader and streamer.
Repository to keep code related Deep Learning tutorials.
AutoML library for deep learning
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
Visualizer for neural network, deep learning, and machine learning models
Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3)
Deep Learning for Detecting Amphoras in Ancient Shipwrecks
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
High-level Deep Learning Framework written in Kotlin and inspired by Keras
A Keras-like experimental Deep Learning framework in Julia 1.6
... I send out a list of most interesting libraries and apps in the "Deep Learning" section to about 1100 subscribers.
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