Unilm
microsoft
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
OPENAGENTSKILL / DIRECTORY
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microsoft
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
antonbabenko
pre-commit git hooks to take care of Terraform configurations 🇺🇦
jpmorganchase
Python training for business analysts and traders
jpetazzo
Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.
mlcommons
Reference implementations of MLPerf® training benchmarks
open-edge-platform
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
himself65
Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
FedML-AI
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further e…
hao-ai-lab
A unified inference and post-training framework for accelerated video generation.
colbymchenry
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
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