le0x99
I love to build (new) stuff from scratch. I sometimes build tools for data scientists. Passionate about deep representation learning.
Quantitative ResearchAmsterdam
Pinned Repositories
BrainImaging
DailyTrends
Python package to get the full time series for any search query with daily frequency.
deep-generative-modeling
From scratch implementations of GAN, VAE and VAE+FlowBased Prior
fast-vision-transformers
Lightweight implementation of vision transformers for fast training and inference.
OSMEvolution
Python package for receiving and restructuring OSM historic object data conveniently
policy-gradient-from-scratch
From scratch implementation of DDPG (Actor Critic w/ state value estimator)
rl-from-scratch
MCTS and Reinforcement Learning from scratch
SA_classifier
Detection Engine using OSM and GSV data by applying geometry and Neural Networks
self-supervised-vision-transformers
Self Supervised Visual Representation Learning with Transformers
shapley_values
from scratch implementation of shapley values for feature attribution in ML
le0x99's Repositories
le0x99/DailyTrends
Python package to get the full time series for any search query with daily frequency.
le0x99/fast-vision-transformers
Lightweight implementation of vision transformers for fast training and inference.
le0x99/SA_classifier
Detection Engine using OSM and GSV data by applying geometry and Neural Networks
le0x99/OSMEvolution
Python package for receiving and restructuring OSM historic object data conveniently
le0x99/BrainImaging
le0x99/deep-generative-modeling
From scratch implementations of GAN, VAE and VAE+FlowBased Prior
le0x99/policy-gradient-from-scratch
From scratch implementation of DDPG (Actor Critic w/ state value estimator)
le0x99/rl-from-scratch
MCTS and Reinforcement Learning from scratch
le0x99/self-supervised-vision-transformers
Self Supervised Visual Representation Learning with Transformers
le0x99/shapley_values
from scratch implementation of shapley values for feature attribution in ML
le0x99/autograd
automatic differentiation and low level neural network implementation using VUgrad.
le0x99/classical-statistical-analysis
classical statistical significance testing and parameter estimation.
le0x99/evolutionary_computing_assignment
Code and Docs for the assignment
le0x99/faster-whisper
Faster Whisper transcription with CTranslate2
le0x99/former
Simple transformer implementation from scratch in pytorch.
le0x99/ftx
FTX Sample Code
le0x99/gradient_boosting
from scratch implementation of gradient boosting
le0x99/learning_machines
le0x99/low-level-deep-learning
Contains low level implementations of neural networks.
le0x99/Parallel-Computing-for-Data-Analysts-and-Social-Scientists
Presentation in the course *Topics in Data Analytics and Machine Learning*
le0x99/POI-Evolution-Forecasting
le0x99/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
le0x99/QD-ANN
undergrad thesis project
le0x99/W2V2-ASR
Model properties and #parameter derivation