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TensorRT-LLM Public
Forked from NVIDIA/TensorRT-LLMTensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
C++ Apache License 2.0 UpdatedFeb 17, 2024 -
flax Public
Forked from google/flaxFlax is a neural network library for JAX that is designed for flexibility.
Python Apache License 2.0 UpdatedApr 25, 2023 -
wandb Public
Forked from wandb/wandb🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Python MIT License UpdatedApr 3, 2023 -
python-lsp-server Public
Forked from python-lsp/python-lsp-serverFork of the python-language-server project, maintained by the Spyder IDE team and the community
Python MIT License UpdatedNov 25, 2022 -
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jraph Public
Forked from google-deepmind/jraphA Graph Neural Network Library in Jax
Python Apache License 2.0 UpdatedMay 21, 2022 -
cuda-samples Public
Forked from NVIDIA/cuda-samplesSamples for CUDA Developers which demonstrates features in CUDA Toolkit
C Other UpdatedNov 30, 2021 -
singa Public
Forked from apache/singaa distributed deep learning platform
C++ Apache License 2.0 UpdatedJul 6, 2021 -
ray Public
Forked from ray-project/rayA fast and simple framework for building and running distributed applications.
Python Apache License 2.0 UpdatedJun 21, 2021 -
framework-determinism Public
Forked from NVIDIA/framework-reproducibilityProviding determinism in deep learning frameworks
Python Apache License 2.0 UpdatedJun 16, 2021 -
MetaTNE Public
Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"
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tensorflow Public
Forked from tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone
C++ Apache License 2.0 UpdatedJul 27, 2019 -
pull-request-tutorial Public
Forked from hishamhm/pull-request-tutorialAn example repository for the Pull Request tutorial
C MIT License UpdatedJul 26, 2019 -
tesp Public
Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
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