Pinned Repositories
ABigSurvey
A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
airbnb-data-collection
Data collection for Airbnb listings.
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
Algorithms
A collection of algorithms and data structures
amr-uti-stm
Code for "A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection"
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
gif
The matplotlib Animation Extension
ibis
The flexibility of Python with the scale and performance of modern SQL.
kartograf
This is an package contains tools for setting up hybrid-topology FE calculations
LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
victornemenike's Repositories
victornemenike/ibis
The flexibility of Python with the scale and performance of modern SQL.
victornemenike/kartograf
This is an package contains tools for setting up hybrid-topology FE calculations
victornemenike/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
victornemenike/Algorithms
A collection of algorithms and data structures
victornemenike/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
victornemenike/bike_sharing_demand_predictor
Project bike sharing predictor
victornemenike/box_office_prediction
victornemenike/DO101x-apps
victornemenike/DRAFT
DRAFT : Dataset Reconstruction Attack From Trained ensembles. Source code associated with the paper "Trained Random Forests Completely Reveal your Dataset" authored by Julien Ferry, Ricardo Fukasawa, Timothée Pascal, and Thibaut Vidal (2024)
victornemenike/ECC24_BOmeetsControl_workshop
victornemenike/hello-nodejs
victornemenike/Hybrid-modeling-of-bioreactor-with-LSTM
Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equations
victornemenike/llm.c
LLM training in simple, raw C/CUDA
victornemenike/LLM101n
LLM101n: Let's build a Storyteller
victornemenike/LookOnceToHear
A novel human-interaction method for real-time speech extraction on headphones.
victornemenike/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
victornemenike/mamba-tabular
Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks.
victornemenike/ml-4m
4M: Massively Multimodal Masked Modeling
victornemenike/mlops-zoomcamp
victornemenike/mlops-zoomcamp-mage
victornemenike/ollama
Get up and running with Llama 2, Mistral, Gemma, and other large language models.
victornemenike/optimization-app
A template for creating streamlit web applications for numerical optimization problems
victornemenike/optimization-demo-files
Examples on numerical optimization
victornemenike/Probability-Fitter
Finds the best probability density function for the given data
victornemenike/pycon2024
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
victornemenike/recommendation-systems-a-practical-introduction-2703578
This is a repository for the LinkedIn Learning course Recommendation Systems: A Practical Introduction
victornemenike/Steady_Dynamic_MCNN
MATLAB Codes and Python Notebooks for developing steady-state and dynamic Mass Constrained Neural Network (MCNN) models using noisy transient data
victornemenike/tfl-pydata2024-pydvl
The pyDVL slides for pyData Berlin 2024
victornemenike/Uno
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP (SQP) and IPOPT (barrier/interior-point method) in a modern and generic way, and unlocks methods never seen before. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
victornemenike/vsgd
Code repository of the paper "Variational Stochastic Gradient Descent for Deep Neural Networks" published at