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GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
3,195
repos tracked
105
surfaced this week
193
created < 30d
Python
top language
29 repos
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Centralized network visibility and continuous asset discovery. Monitor devices, detect change, and stay aware across distributed networks.
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self-hosted, distributed Durable Objects
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This module defines a type system for distributed training code, based off of JAX's sharding in types, but adapted for the PyTorch ecosystem.
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A Rust framework for correct and performant distributed systems
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Official CLI and Python SDK for Prime Intellect - access GPU compute, remote sandboxes, RL environments, and distributed training infrastructure for AI development at scale.
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Executable RL environment for diagnosing and repairing distributed PyTorch training failures, with sandboxed execution and correctness-verified recovery rewards.
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Distributed High-Performance Symbolic Regression in Julia
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Symbolic Learning in Python and Julia
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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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Temporal service
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Fast, flexible, elastically deterministic data loading for foundation model training
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Halo is an open-source framework built by White Circle for training large language and multimodal models
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Distributed transactional key-value database, originally created to complement TiDB
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Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
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Cloud-native OSS search engine for observability
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CS 431: Data-Intensive Distributed Computing (Fall 2026)
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FlashInfer: Kernel Library for LLM Serving
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
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A Datacenter Scale Distributed Inference Serving Framework
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Deterministic ActiveGraph control-plane pilot for Distributed Discovery.
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nnScaler: Compiling DNN models for Parallel Training
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Techniques for converting streams of random bits into floating-point numbers distributed as a uniform real in the unit interval
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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ZeroFS: A log-structured filesystem for S3. ZeroFS serves S3-compatible buckets as POSIX filesystems over NFS and 9P, or as raw block devices over NBD.
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The P programming language.
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Symbolic Learning in Python and Julia