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90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

algorithm_of_machine-learning

hand code for application and software design practice

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

awesome-hacking

A curated list of awesome Hacking tutorials, tools and resources

binance_ai

clonedperson

This project contains the ClonedPerson dataset and code described in our paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification".

code_contests

codex-cli

CLI tool that uses Codex to turn natural language commands into their Bash/ZShell/PowerShell equivalents

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

fast_dense_feature_extraction

A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"

featurenet

Machining feature recognition

genienlp

GenieNLP: A versatile codebase for many NLP tasks

homepage

A highly customizable homepage (or startpage / application dashboard) with Docker and service API integrations.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

machine-learning

This repository serves as a template for all practical applications of basic ML algorithms implemented in both R and Python.

ml-roadmapof-100days

Hey 👋 , Made Road-Map for ML ( Machine 🤖 Learning ) & DL ( Deep 🤖 Learning ) Learner .

ml-system-design-pattern

System design patterns for machine learning

neuraxle

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

nlp-text-generation

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch_geometric

Graph Neural Network Library for PyTorch

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

roadmaps

This repo is to add pages on various career paths and roadmaps such as data scientist, software engineer etc.

scene-representation-networks

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

secml_malware

Create adversarial attacks against machine learning Windows malware detectors

software-design-principles-for-machine-learning

Implementations and Violations of Software Design Principles in Machine Learning

torch-sphere-tracer

PyTorch implementation of differentiable Sphere Tracing / Ray Marching with SDFs (Signed Distance Function) and CSG (Constructive Solid Geometry).

ums

Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS.