Learn how to develop, deploy and iterate on production-grade ML applications.
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Learn OpenCV : C++ and Python Examples
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
TranslatedDeep Learning Tutorial, excellent articles
- deeplearning
- cnn
- rnn
- gan
A collection of various deep learning architectures, models, and tips
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
- machine-learning
- mlops
- model-deployment
- model-monitoring
Learn ML engineering for free in 4 months! Register here 👇🏼
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
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
- tensorflow
- tensorflow2
- deeplearning
- machinelearning
TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树 (Yunzhong Jiangshu, "river and trees amid the clouds")
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
Debugging, monitoring and visualization for Python Machine Learning and Data Science
TranslatedLearning machine learning and quantitative analysis, in progress
Deep Reinforcement Learning for de-novo Drug Design
- deeplearning
- reinforcement-learning
- cheminformatics
- molecular-modeling
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
- ocaml
- functional-programming
- jupyter-kernels
- machine-learning
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.
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