ashishpatel26

Treasure-of-Transformers

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

ResourceBank_CV_NLP_MLOPS_2022

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Computer-Vision-Industry-Use-Cases

Computer Vision Industry Use Cases

Data-Science-Tutorial-By-Lambda-School

Computer-Vision-Papers-of-the-week

Computer Vision Papers of the week

pyMetaheuristic

A python library for the following Metaheuristics: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Crow Search Algorithm, Cuckoo Search, Differential Evolution

G613-Double-Typing-issue-resolved

regressionmetrics

Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn

AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Deep-Learning-for-Tracking-and-Detection

Collection of papers and other resources for object tracking and detection using deep learning

a-week-in-wild-ai

360 view on ai/ml/dl applications

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

awesome-docker

:whale: A curated list of Docker resources and projects

Time-Series

Awesome list and projects of Time Series

awesome-terraform

Curated list of resources on HashiCorp's Terraform

machine-learning-3

:earth_americas: machine learning tutorials (mainly in Python3)

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

nlp-with-transformer

Jupyter notebooks for the Natural Language Processing with Transformers book

Python-Roadmap

Learning Python Programming

vdp

💧 Visual Data Preparation (VDP) is an open-source tool to seamlessly integrate Vision AI with the modern data stack

AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online data analytics

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models

kernl

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

RecBole

A unified, comprehensive and efficient recommendation library

ai-openscale-tutorials

Watson OpenScale tutorials including sample models, notebooks and applications

CodeGeeX

CodeGeeX: An Open Multilingual Code Generation Model

detrex

IDEA Open Source Toolbox for Transformer Based Object Detection Algorithms

DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

latexify_py

Generates LaTeX math description from Python functions.