tensorlink-lab/tensorlink

Distributed model and API infrastructure for PyTorch and Hugging Face.

GitHub repository with 10 stars and 1 forks.

Language: Python

Topics: distributed-computing, huggingface, pytorch

Open provider repository

Latest metric snapshot

2026-06-05: 10 stars and 1 forks.

Similar repositories

  1. 1. lablup/backend.ai

    Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.

    GitHub repository with 645 stars and 177 forks.

    Trending score: 0.76; stars gained: +2; forks gained: +1.

    Language: Python

    Topics: api, backendai, cloud-computing, containers, distributed-computing, docker

  2. 2. MolSSI/QCFractal

    A distributed compute and database platform for quantum chemistry.

    GitHub repository with 161 stars and 55 forks.

    Trending score: 0.26; stars gained: +0; forks gained: +0.

    Language: Python

    Topics: quantum-chemistry, distributed-computing, python, database-platform, computational-chemistry

  3. 3. DIRACGrid/DIRAC

    DIRAC Grid

    GitHub repository with 122 stars and 186 forks.

    Trending score: 0.19; stars gained: +0; forks gained: +0.

    Language: Python

    Topics: distributed-computing, grid, interware, workflow-management, workload-management

  4. 4. helmholtz-analytics/heat

    Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

    GitHub repository with 240 stars and 65 forks.

    Trending score: 0.18; stars gained: +0; forks gained: +0.

    Language: Python

    Topics: gpu, tensors, machine-learning, mpi, numpy, python

  5. 5. YuvrajSingh-mist/smolcluster

    An educational distributed training and inference library for neural nets using local computing

    GitHub repository with 65 stars and 3 forks.

    Trending score: 0.04; stars gained: +0; forks gained: +0.

    Language: Python

    Topics: deep-learning, distributed-computing, distributed-inference, distributed-training, local-ai

Trending in Python

  1. 1. NousResearch/hermes-agent

    The agent that grows with you

    GitHub repository with 181,828 stars and 31,195 forks.

    Trending score: 5.95; stars gained: +1,867; forks gained: +361.

    Language: Python

    Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude

  2. 2. chopratejas/headroom

    Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

    GitHub repository with 13,768 stars and 870 forks.

    Trending score: 5.69; stars gained: +2,829; forks gained: +175.

    Language: Python

    Topics: agent, ai, anthropic, compression, context-engineering, context-window

  3. 3. Imbad0202/academic-research-skills

    Academic Research Skills for Claude Code: research → write → review → revise → finalize

    GitHub repository with 27,484 stars and 2,256 forks.

    Trending score: 5.52; stars gained: +1,079; forks gained: +89.

    Language: Python

    Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review

  4. 4. rohitg00/ai-engineering-from-scratch

    Learn it. Build it. Ship it for others.

    GitHub repository with 28,622 stars and 4,680 forks.

    Trending score: 5.32; stars gained: +1,261; forks gained: +238.

    Language: Python

    Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course

  5. 5. anthropics/financial-services

    GitHub repository with 30,029 stars and 4,231 forks.

    Trending score: 4.88; stars gained: +688; forks gained: +114.

    Language: Python

  6. 6. vinta/awesome-python

    An opinionated list of Python frameworks, libraries, tools, and resources

    GitHub repository with 301,371 stars and 28,044 forks.

    Trending score: 4.60; stars gained: +518; forks gained: +24.

    Language: Python

    Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools

Trending topic: distributed-computing

  1. 1. Eventual-Inc/Daft

    High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

    GitHub repository with 5,546 stars and 483 forks.

    Trending score: 1.26; stars gained: +2; forks gained: +1.

    Language: Rust

    Topics: machine-learning, python, data-engineering, distributed-computing, rust, big-data

  2. 2. beam-cloud/beta9

    Ultrafast serverless GPU inference, sandboxes, and background jobs

    GitHub repository with 1,663 stars and 142 forks.

    Trending score: 1.25; stars gained: +5; forks gained: -1.

    Language: Go

    Topics: gpu, ml-platform, cuda, fine-tuning, generative-ai, large-language-models

  3. 3. lakehq/sail

    Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

    GitHub repository with 2,845 stars and 163 forks.

    Trending score: 0.88; stars gained: +7; forks gained: +0.

    Language: Rust

    Topics: apache-iceberg, apache-spark, arrow, artificial-intelligence, big-data, data-engineering

  4. 4. eclipse-zenoh/zenoh

    zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

    GitHub repository with 2,837 stars and 307 forks.

    Trending score: 0.83; stars gained: +6; forks gained: +1.

    Language: Rust

    Topics: networking, protocol, messaging, storage, edge-computing, iot

  5. 5. datafusion-contrib/datafusion-distributed

    Library for bringing distributed capabilities to Apache DataFusion

    GitHub repository with 109 stars and 48 forks.

    Trending score: 0.78; stars gained: +3; forks gained: +0.

    Language: Rust

    Topics: arrow, datafusion, distributed, distributed-computing, distributed-systems

  6. 6. lablup/backend.ai

    Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.

    GitHub repository with 645 stars and 177 forks.

    Trending score: 0.76; stars gained: +2; forks gained: +1.

    Language: Python

    Topics: api, backendai, cloud-computing, containers, distributed-computing, docker