Learn how to develop, deploy and iterate on production-grade ML applications.
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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
- funds
- machine-learning
- pytrade
- quantitative-finance
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
Python training for business analysts and traders
- python
- jupyter
- jupyterlab
- binder
This repository contains demos I made with the Transformers library by HuggingFace.
- transformers
- pytorch
- bert
- vision-transformer
Foundation Models for Genomics & Transcriptomics
TensorForce Bitcoin Trading Bot
The codes I made while I practiced various TensorFlow examples
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
- probabilistic-programming
- neural-network
- tensorflow
- keras-tensorflow
tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
- tensorflow-lite
- tflite
- computer-vision
- deep-learning