nitish-achar Goto Github PK
Name: Nitish
Type: User
Name: Nitish
Type: User
A list of practical knowledge-building projects.
Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"
Code and hyperparameters for the paper "Generative Adversarial Networks"
An Anomaly detection system built using autoencoders.
Collection for Few-shot Learning
Code for Unsupervised Learning via Meta-Learning.
Code for Unsupervised Learning via Meta-Learning.
A CLI tool for encrypting and decrypting files using specified ciphers
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
Course notes for CS228: Probabilistic Graphical Models.
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
Examples of linear regression, logistic regression, and deep learning implementations such as Transformers, gans, cnns, rnns, and more using Tensorflow. The code examples here are discussed in my books: Deep Learning Algorithms, and Getting Started with Deep Learning -->> Link.
Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind
Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)
Intrusion Detection Evaluation Dataset - CIC-IDS2017 and N-BaIoT
ESWA - Expert Systems with Applications latex template
Visualization of Gibbs sampling for 2D Gaussian distribution
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Keras documentation, hosted live at keras.io
ns3 implementation of the LEACH protocol for WSN
Survival analysis in Python
The entrance repository of Markdown presentation ecosystem
Code and examples for the Mastering Data Mining project
Python to implement Data Mining
Meta learning framework with Tensorflow 2.0
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.