Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
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Updated
Oct 14, 2023 - Python
Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
A slider (SeekBar) with amazing value label.
A collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...
Kansas City Standard tape decoder/viewer made with discrete transistors
Discrete Flow Matching implemented in PyTorch
[NeurIPS 2025] Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".
C++ version of qlibs, a collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...
A bidirectional GRU model to detect discrete emotions in tweets.
[SDM'23] ML4C: Seeing Causality Through Latent Vicinity
Discrete Probability Detector (DPD) is an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in Visual Basic 6.0.
This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.
Discrete Probability Detector (DPD) application uses an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in JavaScript.
🌟 Plans in Computer Science 102 Fall 2020
Predicting a subgraph alongside the answer in a graph based VQA model
Perform a chi-square independence test.
CS70 Homework and Discussion Solutions
COMPASS: an open-source, general-purpose software toolkit for computational psychiatry
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