The e-commerce SDK from commercetools for JavaScript written in TypeScript.
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Updated
May 14, 2024 - TypeScript
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
The e-commerce SDK from commercetools for JavaScript written in TypeScript.
QANTA Quiz Bowl AI
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Structured machine learning project
Web application for predicting the number of available bike stands at one of the MBajk bike stations.
High-level stock quantitative toolkit based on open stock data platforms (e.g. Tushare). It uses mysql to store market data and supports custom quantitative strategies. It provides rich visualization functions and mathematical methods.
Bayesian Optimization and Design of Experiments
EasyDeL is an OpenSource Library to make your training faster and more Optimized With cool Options for training and serving Both in Python And Mojo🔥
A demo application that delivers daily predictions on potential reservation cancellations using a bespoke logistic regression model I developed with scikit-learn. This app incorporates the Python package Faker for generating simulated guest names, though the prediction probabilities are derived from real daily data.
Projects I have worked during my Bachelor
MLPro: Integration Multi-Joint dynamics with Contact (MuJoCo)
AI-FitnessTrainer using YOLOv8-pose
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics
A machine learning library for detecting anomalies in signals.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Les intelligences artificielles
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.