Tsuyoshi Matsuzaki's repositories
reinforcement-learning-tutorials
Reinforcement Learning Algorithms Tutorial (Python)
azure-databricks-exercise
Azure Databricks Hands-on (Tutorials)
azureml-tutorial
Azure Machine Learning Tutorial (CLI / Python)
nlp-tutorials
Natural Language Processing (Neural Methods) Tutorials - from embeddings to transformers
minecraft-rl-example
Reinforcement Learning in Minecraft (Project Malmo Example)
hmm-lds-em-algorithm
Estimate Hidden Markov Models (HMM) and Linear Dynamical Systems (LDS)
finetune_llm_with_lora
Fine-tuning LLM with LoRA (Low-Rank Adaptation)
bot-framework-with-auth-example
Authentication Example in Microsoft Bot Framework (obsolete)
decision-transformer
Decision Transformer in Atari Pong (small example)
homomorphic-encryption-microsoft-seal
Microsoft SEAL Homomorphic Encryption in Python
minecraft-rl-pigchase-attention
Deep Reinforcement Learning : Applying Visual Attention in Minecraft
mlflow-azureml
Azure Machine Learning via MLflow API
quantum-algorithms-qsharp
Quantum Algorithms in Q#
Quantum-Arithmetic-QSharp
Q# Example for Basic Quantum Arithmetics (Adder, Substracter, Multiplier, and Exponentiation)
Quantum-Shor-Algorithm
Q# Example for Shor's Algorithm
tensorflow-tensorrt-python
Speed up Inference by TensorRT
intel-sgx-enclave-ubuntu-tutorial
Intel SGX Enclave Tutorial (Ubuntu)
Quantum-Phase-Estimation-QSharp
Q# Example for Quantum Phase Estimation
azure-spatial-analysis
Azure Spatial Analysis Hands-On Tutorial
azureml-examples
Azure Machine Learning - Examples
azureml-tensorrt-image
Dockerfile for Azure Machine Learning TensorRT image
microsoft-exchange-ews-sync-example
C# Example for Calendar Synchronization by Exchange Web Services (EWS)
microsoft-office365-api-example
C# Example for Microsoft Graph (Outlook)
wcf-aspnet-compatibility-mode
C# Example for ASP.NET Compatibility Model in WCF
calender-ics-example
C# Example for Adding Item in Outlook Calendar (with ICS MIME)
minecraft-rl-on-ray-cluster
Minecraft Reinforcement Learning on Ray Cluster (Distributed RL)
model-parallel
Model Parallel Minimal Implementation (Fine-tuning LLMs with ZeRO)