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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Code for Tensorflow Machine Learning Cookbook
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Simple tutorials using Google's TensorFlow Framework
A scikit-learn compatible neural network library that wraps PyTorch
An annotated implementation of the Transformer paper.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Language-Agnostic SEntence Representations
🪼 a python library for doing approximate and phonetic matching of strings.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Multilingual word vectors in 78 languages
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
"Neural Turing Machine" in Tensorflow
A pedagogical implementation of Autograd
Domain-Adversarial Neural Network in Tensorflow
Introduction to Deep Learning for Natural Language Processing
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Automatically generate headlines to short articles
Approximating Wasserstein distances with PyTorch
Action recognition using soft attention based deep recurrent neural networks