maxingaussian Goto Github PK
Name: Max W. Y. Lam
Type: User
Company: Tencent AI Lab
Bio: My research interest is to design problem-specific probabilistic models that can achieve state-of-the-art performances and push the frontier.
Max W. Y. Lam's Projects
awesome-diffusion-models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
bddm
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
bp-pdf
dnn-ssa-keras
Deep Neural Networks Using Stochastic Spectral Activations in Keras Implementation
fastdiff
PyTorch Implementation of FastDiff (IJCAI'22)
generated-diffusion-samples
Collecting creative samples generated by state-of-the-art diffusion models
gomplex
GomPlex: Complex Gaussian Process for Machine Learning
gpflow
Gaussian processes in TensorFlow
gplstm-rnnlm
gpofm
GPoFM: Gaussian Process Training with Optimized Feature Maps for Shift-Invariant Kernels
mediabot
mediaBot: a Bot for Retrieval of Social Media Data
mos-render-test
ngram-lm
A simple n-gram language model.
results_for_wer
scfgp
SCFGP: Sparsely Correlated Fourier Features Based Gaussian Process
sgpa-in-pytorch
ssgp
SSGP: Sparse Spectrum Gaussian Process
tlgprob
TLGProb: Two-Layer Gaussian Process Regression Model For Winning Probability Calculation of Two-Team Sports
vafnet
VAFnet
zs-vafnn
ZhuSuan-Based Variational Activation Functions for Neural Networks
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