Victor Ezekiel's repositories
AdaRL-code
Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bayesball.github.io
Bayesian Modeling for Statistics and Probability
content
The content behind MDN Web Docs
Deep-Forecast
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
diffuser
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
ESB-CPO
Implement of paper: Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization
esp_project
esp 32 home automation
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
GSTools
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
open5gs
Open5GS is a C-language Open Source implementation for 5G Core and EPC, i.e. the core network of LTE/NR network (Release-17)
rankfm
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
score-wasserstein
Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.
ScoreDiffusionModel
The Pytorch Tutorial of Score-based and Diffusion Model
sp_reg_alarm
speech-recognition-alarm-light
srsRAN_4G
Open source SDR 4G software suite from Software Radio Systems (SRS)
srsRAN_4G_docs
Documentation for the srsRAN project
state-spaces
Sequence Modeling with Structured State Spaces
What-Is-The-Date-Today
GitHub Self-Updating Repository Using GitHub Scheduled Actions