jpark77's Stars
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
realpython/python-guide
Python best practices guidebook, written for humans.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
lucidrains/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
ufoym/deepo
Setup and customize deep learning environment in seconds.
kjw0612/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
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.
awslabs/gluonts
Probabilistic time series modeling in Python
bukosabino/ta
Technical Analysis Library using Pandas and Numpy
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
salesforce/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
WillKoehrsen/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Rachnog/Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
dennybritz/tf-rnn
Practical Examples for RNNs in Tensorflow
wwrechard/pydlm
A python library for Bayesian time series modeling
samuela/git-re-basin
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
sjchoi86/dl_tutorials_10weeks
Deep Learning Tutorials for 10 Weeks
conan7882/GoogLeNet-Inception
TensorFlow implementation of GoogLeNet and Inception for image classification.
AstraZeneca/rexmex
A general purpose recommender metrics library for fair evaluation.
dpressel/mint
MinT: Minimal Transformer Library and Tutorials
e-lab/pytorch-demos
Anwarvic/Deep-Learning-Specialization--Coursera
This repo contains my solution to the 5-course Coursera Deep Learning Specialization created by prof. Andrew Ng and deeplearning.ai incorporation in 2017-2018