mayank-umn's Stars
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
fastai/courses
fast.ai Courses
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
fastai/course-v3
The 3rd edition of course.fast.ai
FlagAI-Open/FlagAI
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
8483/notes
Full-stack web development notes
Tencent/PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
fastai/course22
The fast.ai course notebooks
zero-to-mastery/complete-web-developer-manual
All resources and notes from the Complete Web Developer: Zero to Mastery course
chris1610/pbpython
Code, Notebooks and Examples from Practical Business Python
https-deeplearning-ai/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
enggen/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
the-deep-learners/deep-learning-illustrated
Deep Learning Illustrated (2020)
ShahariarRabby/deeplearning.ai
deeplearning.ai , By Andrew Ng, All video link
phillipai/100-days-of-code-python
100 Days of Code: The Complete Python Pro Bootcamp
pranjal-joshi/Screeni-py
A Python-based stock screener to find stocks with potential breakout probability from NSE India.
PacktPublishing/Full-Stack-React-Projects-Second-Edition
Full-Stack React Projects - Second Edition, published by Packt
AdalbertoCq/Deep-Learning-Specialization-Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
parikshit223933/Coding-Ninjas-Full-Stack-Web-Development
It contains all the files I created during the MERN full stack web development course with coding ninjas
panyang/fastText-for-AI-Challenger-Sentiment-Analysis
AI Challenger 2018 Sentiment Analysis Baseline with fastText
anurag/fastai-course-1
Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai
100-days-of-data-science-code/100-Days-of-Data-Science
100 Days of Data Science
yassouali/fast.ai_notes
:notebook: Notes for fast.ai courses: intro to ML, Practical DL and Cutting edge DL.
dedupeio/address-matching
Python script for matching a list of messy addresses against a gazetteer using dedupe.
Paperspace/fastai-docker
Fast.AI course complete docker container for Paperspace and Gradient
AlessandroCorradini/Stanford-University-Statistical-Learning
Repo for Statistical Learning course offered by Stanford University
xiaojie-qian/Introduction-to-Statistics
Introduction to Statistics Stanford University
PeterSchuld/Stanford-StatisticalLearning
Stanford Online course STATSX0001 "Statistical Learning" follows closely the sequence of chapters in the course text "An Introduction to Statistical Learning, with Applications in R" (James, Witten, Hastie, Tibshirani - Springer 2013). Trevor Hastie Professor of Statistics and of Biomedical Data Sciences, Stanford University, and Robert Tibshirani Professor of Biomedical Data Science and Statistics, Stanford University
tanaytoshniwal/100DaysOfMLCode
This repo is for the Siraj's 100 Days Of ML Code Challenge