mlberkeley / Data-Science-Decal-Fall-2017
☆43Updated 7 years ago
Alternatives and similar repositories for Data-Science-Decal-Fall-2017:
Users that are interested in Data-Science-Decal-Fall-2017 are comparing it to the libraries listed below
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- ☆60Updated 6 years ago
- ☆26Updated 7 years ago
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆82Updated 8 years ago
- This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube☆44Updated 7 years ago
- Crowd Course Data Science course project☆26Updated 8 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- Official Public site for CS109a Fall 2018☆34Updated 6 years ago
- Code, Slides, & Materials for our Tensorflow Workshop Series for Spring Quarter 2017☆64Updated 7 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 7 years ago
- Analysis & Implementation of deep learning papers☆11Updated 7 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 6 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- A open source book covering the foundational maths of deep learning and machine learning using TensorFlow☆33Updated 6 years ago
- Deep Learning Indaba 2017 Practical content☆7Updated 7 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆47Updated 8 years ago
- Collection of lectures and talks I've given on Computer Vision and Deep Learning☆28Updated 6 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 7 years ago
- My exhaustive repo of free deep learning resources☆50Updated 7 years ago
- This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube☆62Updated 5 years ago
- This contains materials for the word embeddings workshop☆126Updated 7 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 7 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆108Updated 6 years ago
- This is the Sylllabus for Siraj Raval's Reinforcement Learning course "AI for Video Games" on Youtube☆64Updated 7 years ago
- This is the code for "C Programming for Machine Learning" By Siraj Raval on Youtube☆73Updated 6 years ago
- Collection of Presentation materials from workshop on Nov 19pth-20th, 2016☆64Updated 7 years ago