ml-lab

forks of interesting repos relating to machine learning

Pinned Repositories

auxiliary-deep-generative-models
Implementation of auxiliary deep generative models for semi-supervised learning
Language:Python28 5 07
Awesome-Face-Forgery-Generation-and-Detection
A curated list of articles and codes related to face forgery generation and detection.
7 2 02
DeepVideoAnalytics
Analyze videos, perform detections, index frames & detected objects, search by examples
Language:JavaScript9 4 0715
DRN-1
Code for "Learning Multiple Tasks with Deep Relationship Networks" NIPS 2017
Language:Python4 3 00
home-platform
A Household multimodal environment (HoME) based on the SUNCG indoor scenes dataset
Language:Python4 6 042
LLaMA-Adapter-2
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
Language:Python8 1 02
MobilePose-pytorch
Single Person Pose Estimation for Mobile Device
Language:Jupyter Notebook20 7 034
PointGrow
An autoregressive model for point cloud generation augmented with self-attention
Language:Python52
pose-residual-network
Code for 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper
5 5 06
pseudo-3d-residual-networks
Pseudo-3D Convolutional Residual Networks for Video Representation Learning
Language:C++4 3 00

ml-lab's Repositories

ml-lab/Batchwise-Dropout
Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each subject to 50% dropout, the corresponding matrix multiplications for forward- and back-propagation is 75% less work as the dropped out units are not calculated.
Language:C++
ml-lab/nips14_loc_seg_testonly
Object Segmentation (NIPS 2014)
Language:C++
ml-lab/sklearn-compiledtrees
Compiled Decision Trees for scikit-learn
Language:Python
ml-lab/StructuredForests
A Python Implementation for Piotr's ICCV Paper "Structured Forests for Fast Edge Detection".
Language:Python
ml-lab/gmmn
Generative moment matching networks
Language:Python
ml-lab/Probabilistic-Backpropagation
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
Language:C
ml-lab/learning-fair-representations
Python numba implementation of Zemel et al. 2013
Language:Python
ml-lab/vowpal_wabbit
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
Language:C++
ml-lab/weibo-rumor
Understanding the Rumor Dispelling Behavior in Microblogs: A Case Study on Sina Weibo
Language:Python26
ml-lab/chumpy
Language:Python
ml-lab/Joint_Bayesian
According to the paper "Bayesian Face Revisited: A Joint Formulation", the repository realizes the algorithm of Joint Beyesian with Matlab and achieve the same result as the paper
Language:Matlab
ml-lab/dirichlet-process
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Language:R
ml-lab/machine-learning
Composable supervised machine learning
Language:Haskell
ml-lab/wikipedia-question-generator
Uses NLP and wikipedia to try to generate trivia questions
Language:Python
ml-lab/neuralslimevolley
Neural Slime Volleyball
Language:JavaScript
ml-lab/tmhmm.py
A transmembrane helix finder in Python 3.
Language:Python
ml-lab/pose-aligned-deep-networks
Pose Aligned Networks for Deep Attribute Modeling matlab code used for the publication here: http://arxiv.org/abs/1311.5591
Language:Matlab
ml-lab/higgsml
The winning solution to the The Higgs Boson Machine Learning Challenge.
Language:Common Lisp
ml-lab/video_segment
Main repository for The Video Segmentation Project
Language:C++
ml-lab/cavat
Automatically exported from code.google.com/p/cavat
Language:Python
ml-lab/Eigenfaces
A Python implementation of the famous Eigenfaces algorithm for face recognition, implemented and tested over the AT&T face data set.
Language:Python
ml-lab/StoryGraphs
StoryGraphs -- Visualizing Character Interactions as a Timeline
Language:Matlab
ml-lab/LINE
LINE: Large-scale information network embedding
Language:C++
ml-lab/extreme-deconvolution
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
Language:C
ml-lab/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
Language:HTML
ml-lab/belief-propagation
An implementation of loopy belief propagation on a Bayesian Network (BN)
Language:Python
ml-lab/Deep-Music-Autoencoder
The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework
Language:Python
ml-lab/Replicating-DeepMind
Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
Language:C++
ml-lab/product-classifier
Classify products into categories by their name with NLTK
Language:Python
ml-lab/FunkyYak
Computes derivatives of complicated numpy code.
Language:Python1