sumeetsk's Stars
sumeetsk/dbclass
dbclass homework
msuzen/looper
A resource list for causality in statistics, data science and physics
gothinkster/realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
j2kun/riemann-divisor-sum
Code for the series "Searching for Riemann Hypothesis Counterexamples"
aws-samples/lambda-refarch-imagerecognition
The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.
dalmia/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
neubig/lowresource-nlp-bootcamp-2020
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
sannykim/deeplearning-guide
An evolving guide to learning Deep Learning effectively.
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
karpathy/pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
rasbt/stat453-deep-learning-ss20
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
dpressel/dliss-tutorial
Tutorial for International Summer School on Deep Learning, 2019
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
instillai/deep-learning-roadmap
:satellite: All You Need to Know About Deep Learning - A kick-starter
instillai/TensorFlow-Course
:satellite: Simple and ready-to-use tutorials for TensorFlow
instillai/machine-learning-course
:speech_balloon: Machine Learning Course with Python:
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
udellgroup/orie7191
Materials for ORIE 7191: Topics in Optimization for Machine Learning
felixmcgregor/BayesianLogisticRegressionEP
Implementation of Bayesian Logistic Regression using Expectation Propagation for approximate inference
wrightstephen/TRIPODS-EDUCATION
TRIPODS Educational Material
ee227c/ee227c.github.io
EE227C (Spring 2018) Course page
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
vyraun/Megalodon
Various ML/DL Resources organised at a single place.
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)