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Spark's Projects

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

diagrams icon diagrams

:art: Diagram as Code for prototyping cloud system architectures

docbank icon docbank

DocBank: A Benchmark Dataset for Document Layout Analysis

dspy icon dspy

DSPy: The framework for programming with foundation models

getting-things-done-with-pytorch icon getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

gpt3.5e-qual icon gpt3.5e-qual

OpenChat: Advancing Open-source Language Models with Imperfect Data

kitt icon kitt

Talk to ChatGPT in real time using LiveKit

livekit icon livekit

End-to-end stack for WebRTC. SFU media server and SDKs.

machine-learning-from-scratch icon machine-learning-from-scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

pythonnumericaldemos icon pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

ragapp icon ragapp

The easiest way to use RAG in any enterprise

smol-vision icon smol-vision

Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

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