Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Natural Language Processing Tutorial for Deep Learning Researchers
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Best Practices, code samples, and documentation for Computer Vision.
TensorFlow Tutorials with YouTube Videos
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Repo for the Deep Reinforcement Learning Nanodegree program
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
A small package to create visualizations of PyTorch execution graphs
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Notebooks about Bayesian methods for machine learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"
Simple image captioning model
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, …
This repo contains the code for 1D tokenizer and generator