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TensorFlow-Slim

Appears in 12 awesome lists

Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.

Open github.comtensorflow/models

Found in these lists

Models

Section: The Gold · Models for TensorFlow.

SlowScore 58

Awesome Data Analysis

Section: Tools · Official TensorFlow repository with models and examples.

FreshScore 80

Awesome Deep Learning

Section: Frameworks

SlowScore 59

Awesome - Image Classification

Section: PNasNet

StaleScore 47

Awesome Open Source AI

Section: 8. MLOps / LLMOps & Production · Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.

FreshScore 89

awesome-python

Section: Other · Models and examples built with TensorFlow

FreshScore 81

awesome-sentence-embedding

Section: Evaluation · Olive Oil Is Made of Olives, Baby Oil Is Made for Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model

ArchivedScore 49

Awesome TensorFlow

Section: Libraries · High-level library for defining models

SlowScore 72

Awesome-TensorFlow-Chinese

Section: 库 · High-level library for defining models

ActiveScore 77

Awesome TensorFlow Lite

Section: TensorFlow Lite models · Pretrained MobileNet v2 and v3 models.

StaleScore 50

Computer Vision Pretrained Models

Section: Tensorflow · Localizing and identifying multiple objects in a single image.

StaleScore 50

Deep Learning Model Convertors

Section: General · MMdnn

StaleScore 44

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails

scikit-learn

Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.

In 10 listsDetails

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

In 10 listsDetails

Caffe

is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

In 10 listsDetails