The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Google Research

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 ;)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Kolmogorov Arnold Networks

This repository contains implementations and illustrative code to accompany DeepMind publications

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

TensorFlow Tutorials with YouTube Videos

Automatic extraction of relevant features from time series:

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Code for Tensorflow Machine Learning Cookbook

Flax is a neural network library for JAX that is designed for flexibility.

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Simple tutorials using Google's TensorFlow Framework

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Plain python implementations of basic machine learning algorithms

Probabilistic reasoning and statistical analysis in TensorFlow

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Massively parallel rigidbody physics simulation on accelerator hardware.

1st place solution

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Dual LSTM Encoder for Dialog Response Generation

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Differentiable, Hardware Accelerated, Molecular Dynamics

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

Dynamic seq2seq in TensorFlow, step by step