Stars
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Modin: Scale your Pandas workflows by changing a single line of code
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
This is the code for "Internet of Things Optimization" By Siraj Raval on Youtube
This is the code for the "How to Use Tensorboard" live session by Siraj Raval on Youtube
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
This is the code for "Meta Learning" By Siraj Raval on Youtube
This is the code for "Meta Learning" By Siraj Raval on Youtube
Tensorboard Demo by @Sirajology on Youtube
This is the code for "Q Learning Explained" by Siraj Raval on Youtube
This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
This is the code for "Time Series Prediction" By Siraj Raval on Youtube
This is the code for "AI in Finance" By Siraj Raval on Youtube
This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube
This is the code and challenge for "IBM Watson Discovery" By Siraj Raval on Youtube
This is the code for "A Guide to DeepMind's StarCraft AI Environment" by Siraj Raval on Youtube
llSourcell / DiscreteMath
Forked from hongshin/DiscreteMathDiscrete Mathematics
A topic-centric list of HQ open datasets in public domains. PR ☛☛☛
This is the code for "Intro to Statistics - Data Lit #2" by Siraj Raval on Youtube
This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
This is the code for Data Visualizaton - Data Lit #4 by Siraj Raval on Youtube