jacobeturpin
Engineering Leader at @Avodah-Inc | UNC & Northwestern Grad | AI Product Development
AvodahRaleigh, North Carolina
jacobeturpin's Stars
webrtcHacks/facetouchmonitor
monitor how often you touch your face with WebRTC and tensorflow.js
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
jacobeturpin/CXR14
A study of former and current state of the art image classification methods on the NIH ChestXRay14 Dataset
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
thtang/CheXNet-with-localization
Weakly Supervised Learning for Findings Detection in Medical Images
jrzech/reproduce-chexnet
Reproduce CheXNet
arnoweng/CheXNet
A pytorch reimplementation of CheXNet
simple-salesforce/simple-salesforce
A very simple Salesforce.com REST API client for Python
jepcastelein/marketo-rest-python
A Python Client for the Marketo REST API
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
tomahim/react-flask-postgres-boilerplate-with-docker
A ReactJS + Flask (REST API) + PostgreSQL boilerplate with Docker usage
uber/manifold
A model-agnostic visual debugging tool for machine learning
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
Netflix/metaflow
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
polynote/polynote
A better notebook for Scala (and more)
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
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.
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
teamclairvoyant/airflow-maintenance-dags
A series of DAGs/Workflows to help maintain the operation of Airflow
more-itertools/more-itertools
More routines for operating on iterables, beyond itertools
dword4/nhlapi
Documenting the publicly accessible portions of the NHL API
roclark/sportsipy
A free sports API written for python
faif/python-patterns
A collection of design patterns/idioms in Python
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
sepandhaghighi/pycm
Multi-class confusion matrix library in Python