☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
47,133 repositories indexed
1–14 of 14 · Most stars
☁️ Build multimodal AI applications with cloud-native stack
The Cloud Native AI Platform
Build, Manage and Deploy AI/ML Systems
Speech recognition module for Python, supporting several engines and APIs, online and offline.
Uplift modeling and causal inference with machine learning algorithms
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
AI Infra / AI Orchestration / AI Control Plane
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A uniform interface to run deep learning models from multiple frameworks
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
▶️ An awesome list of awesome Brazilian YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
▶️ An awesome list of awesome Spanish YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.