ClimbsRocks
Rock Climber, Biker, Community Builder, Teacher, data scientist & machine learning geek
auto.mlOakland
Pinned Repositories
autodeepnet
Automated deep learning!
auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
Concordia
Tracking machine learning: reconciling predictions at training time and serving time, tracking feature inputs and discrepancies over time, and more
data-formatter
Takes raw csv input and formats it to be ready for neural networks
empythy
Automated NLP sentiment predictions- batteries included, or use your own data
ensembler
Automatically ensembles the predictions from different machine learning classifiers
learningmachines
Teaching machine learning!
machineJS
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
nlpSentiment
Improve upon sentiment predictions for a Twitter dataset
sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
ClimbsRocks's Repositories
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
ClimbsRocks/empythy
Automated NLP sentiment predictions- batteries included, or use your own data
ClimbsRocks/Concordia
Tracking machine learning: reconciling predictions at training time and serving time, tracking feature inputs and discrepancies over time, and more
ClimbsRocks/sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
ClimbsRocks/ClimbsRocks.github.io
blog
ClimbsRocks/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
ClimbsRocks/robots_doing
Learning RL for robots by doing
ClimbsRocks/tabular_ml
Collecting some thoughts to see if I want to do automl again.
ClimbsRocks/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
ClimbsRocks/aPlayfulLife
ClimbsRocks/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ClimbsRocks/BeMyPermanentPerson
ClimbsRocks/benchmarks
Comparison tool
ClimbsRocks/BetterChatGPT
An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
ClimbsRocks/boto3
proposing a nit fix.
ClimbsRocks/catboost
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
ClimbsRocks/chooseFunDates
Making picking dates more fun and DRY. http://aPlayfulDate.com
ClimbsRocks/devol
Automated deep neural network design via genetic programming
ClimbsRocks/Fast-Parallel-DTW-kNN-Python
A fast and parallel implementation of the k-Nearest-Neighbour Search under the Dynamic Time Warping Metric
ClimbsRocks/gh_pages_testing
ClimbsRocks/gh_pagestesting
ClimbsRocks/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
ClimbsRocks/learn.turtlebot.com
We want you to learn TurtleBot (and Robotics)!
ClimbsRocks/learning_backup
Storing some learning files
ClimbsRocks/librealsense
Intel® RealSense™ SDK
ClimbsRocks/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
ClimbsRocks/nnabla
NNabla - Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production. We aim it running everywhere like desktop PCs, HPC clusters, embedded devices and production servers.
ClimbsRocks/rating_history
Download and parse credit rating history files that US rating agencies generate each month in accordance with SEC Rule 17g-7
ClimbsRocks/school_comparisons
Get data about schools. Clearly a school can't be boiled down to just a bunch of data points, but it's a better starting point than just reading 5 opinions on the internet
ClimbsRocks/xarm_ros
ROS packages for xArm series from UFACTORY