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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Data and code behind the articles and graphics at FiveThirtyEight
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
subpixel: A subpixel convnet for super resolution with Tensorflow
Notebooks for "Python for Signal Processing" book
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Computations and statistics on manifolds with geometric structures.
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Implementing Siamese networks with a contrastive loss for similarity learning
Dramatron uses large language models to generate coherent scripts and screenplays.
Digital Signal Processing - Theory and Computational Examples
Python package for Bayesian Machine Learning with scikit-learn API
Repo for Udacity's Secure & Private AI course
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
feature extraction from speech signals
TensorFlow tutorial on Generative Adversarial Models
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
A PyTorch library for two-sample tests
Pytorch implementation of Neural Processes for functions and images 🎆