souravdas-ai's Stars
google/evojax
dask/dask
Parallel computing with task scheduling
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
google-deepmind/dm-haiku
JAX-based neural network library
PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0
Hands-On Image Generation with TensorFlow 2.0, published by Packt
Kaggle/kaggle-api
Official Kaggle API
keras-team/keras
Deep Learning for humans
mrdbourke/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
PacktPublishing/Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
KeithGalli/Pandas-Data-Science-Tasks
Set of real world data science tasks completed using the Python Pandas library
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
The-Singularity-Research/universal-classifier
Single qubit data reuploading universal binary classifier modified from Penny Lane
The-Singularity-Research/entanglement
A Jupyter notebook that covers Bell states (EPR states), entanglement, GHZ states, W states, and graph states.
The-Singularity-Research/linear_algebra_for_quantum_computing
This is course material for a course on linear algebra and mathematical prerequisites for quantum computing. It contains Jupyter notebooks and Python scripts that can be downloaded as part of the course.
GoogleCloudPlatform/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
coverdrive/MDP-DP-RL
Markov Decision Processes, Dynamic Programming and Reinforcement Learning