Alexandre Vilcek's repositories
llmops-promptflow-template-fork
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
python-sample-vscode-flask-tutorial
Sample code for the Flask tutorial in the VS Code documentation
mlops-templates
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
NeMo-Sentence-Transformer
Refactor a Sentence Transformer model using NVIDIA NeMo
Soft_Sensors_on_Azure
Solution template code to train soft sensor models on Azure
MLADS_Fall_2020_RL_on_AML_Lab
Microsoft MLADS Fall 2020 lab - Reinforcement Learning with Azure ML: Beyond Games
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
Workshop_AzureML_2019
Workshop Azure ML service materials
PyTorch-1.x-Reinforcement-Learning-Cookbook
PyTorch 1.x Reinforcement Learning Cookbook, published by Packt
DQN_PyTorch
Example of a Deep Q-Network with PyTorch that learns to play Atari Space Invaders
RNNForTimeSeriesForecasting
A tutorial demonstrating how to implement recurrent neural networks for time series forecasting
move37
Coding Demos from the School of AI's Move37 Course
pygcn
Graph Convolutional Networks in PyTorch
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
MachineLearningNotebooks
Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
A-Collection-of-important-tasks-in-pytorch
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
pytorch_tutorial
PyTorch tutorial for PyData Berlin
graphsage-simple
Simple reference implementation of GraphSAGE.
RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Deep_KMeans
Sample R code implementing the "Deep K-Means" algorithm
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials