HUSEIN ZOLKEPLI

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A large collection of Jupyter Notebooks with machine learning models for predicting stock prices and simulating automated trading strategies. Built for learning and research, not live trading.

Gathers Python deployment, infrastructure and practices.

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines.

gathers Python stack for DevOps, these are usually my basic templates use for my implementations, so, feel free to use it and evolve it! Everything is Docker!

Gathers Tensorflow deep learning models.

Husein pet projects in here!

YOLO: Real-Time Object Detection using Tensorflow and easy to use

Gathers machine learning and data science techniques for problem solving.

Lightweight continuous batching OpenAI compatibility using HuggingFace Transformers include T5 and Whisper.

Gathers Tensorflow deep learning models for Bahasa Malaysia NLP problems

Classify signal using Deep Learning on Tensorflow and various machine learning models.

Web projects using Tensorflow JS, Plotly, D3, Echarts, NumJS, and NumericJS

Dynamic batching for Document Layout and OCR, suitable for RAG, with extra tools.

Gathers data science and machine learning problem solving using PySpark and Hadoop.

Gathers machine learning and deep learning models for Reinforcement Learning

Dynamic batching for Speech Enhancement, Speech Tokenizer and TTS.

implement Artificial Neural Network on different languages

Forked of Streamz to deliver processed guarantees at least once for Kafka consumers with extra features.

Dynamic parameter type checking for Python 3.6 and above. This able to detect deep nested variables.

FastAPI boilerplate for Loki and Tempo.

Gathers hackathon and huseinhouse dashboards

Sloppy page for huseinzol05

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Efficient Low-Memory Aligner for Mac