A latent text-to-image diffusion model

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.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Taming Transformers for High-Resolution Image Synthesis

Repo for the Deep Reinforcement Learning Nanodegree program

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Materials for the Hugging Face Diffusion Models Course

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

Notebooks containing R code from Richard McElreath's Statistical Rethinking

An implementation of the Alpha Go Zero algorithm, runnable on a single GPU

A Tutorial for Diffusion Models

Here we try to replace the existing Convolutionalarchitecture in a Deep Q-learning agent with the current widelyresearched architecture i.e. Transformers. Both the models aretrained to play ’Pong’ …