Figura-Labs-Inc / telegraf_nv_exportLinks
Ultra low overhead NVIDIA GPU telemetry plugin for telegraf with memory temperature readings.
☆63Updated last year
Alternatives and similar repositories for telegraf_nv_export
Users that are interested in telegraf_nv_export are comparing it to the libraries listed below
Sorting:
- Simple Transformer in Jax☆139Updated last year
- SIMD quantization kernels☆92Updated 2 months ago
- Just large language models. Hackable, with as little abstraction as possible. Done for my own purposes, feel free to rip.☆44Updated 2 years ago
- A graph visualization of attention☆57Updated 6 months ago
- look how they massacred my boy☆63Updated last year
- NanoGPT-speedrunning for the poor T4 enjoyers☆72Updated 7 months ago
- smol models are fun too☆92Updated last year
- smolLM with Entropix sampler on pytorch☆149Updated last year
- Modify Entropy Based Sampling to work with Mac Silicon via MLX☆49Updated last year
- ☆69Updated last week
- parallelized hyperdimensional tictactoe☆125Updated last year
- explore token trajectory trees on instruct and base models☆148Updated 6 months ago
- could we make an ml stack in 100,000 lines of code?☆46Updated last year
- MLX port for xjdr's entropix sampler (mimics jax implementation)☆62Updated last year
- an implementation of Self-Extend, to expand the context window via grouped attention☆119Updated last year
- ☆13Updated last year
- NSA Triton Kernels written with GPT5 and Opus 4.1☆65Updated 3 months ago
- PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP☆138Updated 2 months ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆108Updated 8 months ago
- ☆40Updated last year
- Gradient descent is cool and all, but what if we could delete it?☆104Updated 3 months ago
- run paligemma in real time☆133Updated last year
- a highly efficient compression algorithm for the n1 implant (neuralink's compression challenge)☆46Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆83Updated 2 years ago
- A simple MLX implementation for pretraining LLMs on Apple Silicon.☆84Updated 3 months ago
- compute, storage, and networking infra at home☆65Updated last year
- ☆96Updated last year
- in this repository, i'm going to implement increasingly complex llm inference optimizations☆70Updated 6 months ago
- Synthetic data derived by templating, few shot prompting, transformations on public domain corpora, and monte carlo tree search.☆32Updated last month
- Full finetuning of large language models without large memory requirements☆94Updated 2 months ago