nitish-achar Goto Github PK

100projectsofcode

A list of practical knowledge-building projects.

a-hierarchical-transformation-discriminating-generative-model-for-few-shot-anomaly-detection

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

anomaly-detection-using-autoencoders

An Anomaly detection system built using autoencoders.

awesome-papers-fewshot

Collection for Few-shot Learning

book-resources

botnet-traffic-analysis

cactus-maml

Code for Unsupervised Learning via Meta-Learning.

cactus-protonets

Code for Unsupervised Learning via Meta-Learning.

cipherx

A CLI tool for encrypting and decrypting files using specified ciphers

classifying_data_using_a_support_vector_machine

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

deep-learning-ml-and-tensorflow

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

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind

elm-pure

Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)

ensemble_ids

Intrusion Detection Evaluation Dataset - CIC-IDS2017 and N-BaIoT

eswa-template

ESWA - Expert Systems with Applications latex template

gibbs-sampling-visualized

Visualization of Gibbs sampling for 2D Gaussian distribution

google-chrome-dino-game-ai

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

introduction_to_computational_statistics

keras-io

Keras documentation, hosted live at keras.io

leach

ns3 implementation of the LEACH protocol for WSN

lifelines

Survival analysis in Python

marp

The entrance repository of Markdown presentation ecosystem

masteringdm

Code and examples for the Mastering Data Mining project

masteringdm-1

Python to implement Data Mining

metalearning-tf2.0

Meta learning framework with Tensorflow 2.0

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville