hadhari's Stars
rahulkobbajigari/Data-Science-module-WQU
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
ValaryLim/National-Data-Science-Challenge-2019
Text Classifier to Categories Shopee Products by Product Title
andywang13/NDSC
Singapore National Data Science Competition
jmugan/modern_practical_nlp
This course covers how you can use NLP to do stuff.
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
MrMimic/data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
Argaadya/data-mining
chiphuyen/just-pandas-things
An ongoing list of pandas quirks
gordicaleksa/pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
gopherdata/gophernotes
The Go kernel for Jupyter notebooks and nteract.
mikesprague/udacity-nanodegrees
:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula
Sentdex/NNfSiX
Neural Networks from Scratch in various programming languages
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
akiltipu/WQU-DS-1
My code from WorldQuant University's Data Science Unit-1 (Scientific Computing and Python for Data Science)
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Qiskit/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Qiskit/qiskit-metapackage
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
visenger/awesome-mlops
A curated list of references for MLOps
Machine-Learning-Tokyo/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
minitorch/minitorch.github.io
Docs