Update waiting-room.md

Author: krzjoa

other/waiting-room.md

@@ -10,14 +10,34 @@
 [amd]: https://raw.githubusercontent.com/krzjoa/awesome-python-datascience/master/img/amd.png "AMD based"
 [pd]: https://raw.githubusercontent.com/krzjoa/awesome-python-datascience/master/img/pandas.png "pandas based"
 
-* [alexander](https://github.com/annoys-parrot/alexander) ![alt text][skl] ![alt text][pd] - wrapper that aims to make scikit-learn fully compatible with pandas
+
+### General ML
+* [civisml-extensions](https://github.com/civisanalytics/civisml-extensions) ![alt text][skl] - scikit-learn-compatible estimators from Civis Analytics
+* [fklearn](https://github.com/nubank/fklearn) ![alt text][skl] - Functional Machine Learning
+* [sklearn-extensions](https://github.com/wdm0006/sklearn-extensions) ![alt text][skl] - a consolidated package of small extensions to scikit-learn
+* [bace](https://github.com/krzjoa/bace) ![alt text][skl] - A deck of Naive Bayes algorithms with sklearn-like API
 * [HungaBunga](https://github.com/ypeleg/HungaBunga) - Brute-Force all sklearn models with all parameters using .fit .predict!
+* [Random Forest Clustering](https://github.com/joshloyal/RandomForestClustering) - Unsupervised Clustering using Random Forests.<img height="20" src="img/sklearn_big.png" alt="sklearn">
+
+#### Gradient Boosting Machines
+* [InfiniteBoost](https://github.com/arogozhnikov/infiniteboost) - building infinite ensembles with gradient descent
+* [TGBoost](https://github.com/wepe/tgboost) ![alt text][skl] - Tiny Gradient Boosting Tree
+
+
+### Deap Learning
 * [Conx](https://github.com/Calysto/conx) - The On-Ramp to Deep Learning
 * [quinn](https://github.com/MrPowers/quinn) - pyspark methods to enhance developer productivity. ![alt text][sp]
 * [scikit-chainer](https://github.com/lucidfrontier45/scikit-chainer) - Scikit-learn like interface to chainer. ![alt text][skl]
 * [chainer_sklearn](https://github.com/corochann/chainer_sklearn) - Sklearn (Scikit-learn) like interface for Chainer. ![alt text][skl]
+
+### Data Manipulation
+* [alexander](https://github.com/annoys-parrot/alexander) ![alt text][skl] ![alt text][pd] - wrapper that aims to make scikit-learn fully compatible with pandas
 * [Fuel](https://github.com/mila-udem/fuel) - Data pipeline framework for machine learning.
+
+### Evaluation
 * [kaggle-metrics](https://github.com/krzjoa/kaggle-metrics) - Metrics for Kaggle competitions.
+
+### Statistics
 * [simplestatistics](https://github.com/sheriferson/simplestatistics) - Simple statistical functions implemented in readable Python.
 * [pysie](https://github.com/chen0040/pysie) - Provides python implementation of statistical inference engine.
-* [Random Forest Clustering](https://github.com/joshloyal/RandomForestClustering) - Unsupervised Clustering using Random Forests.<img height="20" src="img/sklearn_big.png" alt="sklearn">
+