awesome-ChatGPT-repositories
Section: NLP · 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FreshScore 87
Entry
transformers
Appears in 14 awesome lists
(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…
Open github.comhuggingface/transformers
Found in these lists
Awesome Data Analysis
Section: Tools · Model-definition framework for state-of-the-art machine learning models.
FreshScore 80
awesome-huggingface
Section: Official Libraries · State-of-the-art natural language processing for Jax, PyTorch and TensorFlow.
ArchivedScore 49
Awesome JAX
Section: Libraries · Ecosystem of pretrained Transformers for a wide range of natural language tasks (Flax).
SlowScore 64
Awesome Machine Learning
Section: Python · A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.
FreshScore 93
Awesome Natural Language Generation
Section: Neural Natural Language Generation · State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
FreshScore 81
awesome-nlp
Section: Libraries · Natural Language Processing for TensorFlow 2.0 and PyTorch.
FreshScore 90
Awesome Open Source AI
Section: 1. Core Frameworks & Libraries · The de facto standard library for pretrained NLP models. 1M+ models, 250,000+ downloads/day. BERT, GPT, Llama, Qwen, and hundreds more.
FreshScore 89
Awesome Production Machine Learning
Section: Industry Strength Natural Language Processing · Huggingface's library of state-of-the-art pretrained models for Natural Language Processing (NLP).
FreshScore 92
awesome-python
Section: Machine Learning Frameworks · 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
FreshScore 81
Awesome Python Data Science
Section: Others · State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ActiveScore 71
Awesome-Pytorch-list
Section: NLP & Speech Processing: · huggingface Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. huggingface.co/transformers
FreshScore 88
Awesome Transformer & Transfer Learning in NLP
Section: PyTorch and TensorFlow · (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…
StaleScore 52
Awesome Python
Section: AI and Agents · The model-definition framework for pretrained models in text, computer vision, audio, video, and multimodal tasks, for inference and training.
FreshScore 94
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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
Opik
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
In 16 listsDetails
Mem0
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
In 13 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 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
Semantic Kernel
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…
In 11 listsDetails
TensorFlow-Slim
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.
In 12 listsDetails