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Tpu Python Packages

Python packages with the GitHub topic tpu. Sorted by relevance, with stars and monthly downloads.
vllm-project
vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

6.2M 81K 17K
skypilot-org
skypilot

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

1.8M 10K 1K
skypilot-org
skypilot-nightly

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

407K 10K 1K
google
torchax

torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.

307K 219 31
vllm-project
vllm-tpu

A high-throughput and memory-efficient inference and serving engine for LLMs

170K 81K 17K
skypilot-org
trainy-skypilot-nightly

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

17K 10K 1K
tensorflow
tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

8K 17K 4K
Kohulan
decimer

DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.

8K 368 76
google
xpk

xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerators such as TPUs and GPUs on GKE.

7K 181 88
aphrodite-engine
aphrodite-engine

Large-scale LLM inference engine

5K 2K 197
google
google-jetstream

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).

4K 434 63
hhk7734
yolov4

YOLOv4 Implemented in Tensorflow 2.

3K 135 74
clashluke
tpucare

Automatically take good care of your preemptible TPUs

917 37 1
clashluke
revlib

Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload

888 132 6
tensorflow
adanet

Fast and flexible AutoML with learning guarantees.

756 3K 525
vllm-project
ai-dynamo-vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

620 81K 17K
andreped
gradient-accumulator

:dart: Gradient Accumulation for TensorFlow 2

619 53 11
skypilot-org
ac-scheduler

SkyPilot: Run AI on Any Infra — Unified, Faster, Cheaper. (Fork by Jason-AC)

589 10K 1K
birkhoffg
cfnet

A counterfactual explanation library using Jax

565 2 1
skypilot-org
nextai-prism

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

544 10K 1K
sascha-kirch
deepsaki

DeepSaki is an add-on to TensorFlow. It provides a variaty of custom classes ranging from activation functions to entire models, helper functions to facilitate connectiong to your, compute HW and many more!

539 10 0
vllm-project
vllm-acc

A high-throughput and memory-efficient inference and serving engine for LLMs

536 81K 17K
vllm-project
vllm-xft

A high-throughput and memory-efficient inference and serving engine for LLMs

510 81K 17K
vllm-project
wxy-test

A high-throughput and memory-efficient inference and serving engine for LLMs

407 2K 1K
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