jayantsahewal's Stars
fabsig/KTBoost
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
capeprivacy/tf-world-tutorial
TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
GoogleCloudPlatform/tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
lmoroney/mlday-tokyo
Colabs for ML Day Tokyo
PythonWorkshop/intro-to-nlp-with-pytorch
Introduction to NLP with PyTorch Workshop Project
PacktPublishing/Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
aimacode/aima-pseudocode
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
hubotio/hubot
A customizable life embetterment robot.
stanfordnlp/cs224n-winter17-notes
Course notes for CS224N Winter17
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
dmlc/mxnet-notebooks
Notebooks for MXNet
amaas/stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
lukaemon/Coursera-ML-AndrewNg
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm