Statistics for topic deep-learning
RepositoryStats tracks 642,290 Github repositories, of these 8,888 are tagged with the deep-learning topic. The most common primary language for repositories using this topic is Python (5,440). Other languages include: Jupyter Notebook (1,626), C++ (279), JavaScript (107), HTML (82), MATLAB (52), Java (46), C (43), C# (39), TypeScript (38)
Stargazers over time for topic deep-learning
Most starred repositories for topic deep-learning (view more)
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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
[LREC-COLING 2024 (Oral), Interspeech 2024 (Oral), NAACL 2025] A Series of Multilingual Multitask Medical Speech Processing
Financial Time Series Benchmark (FinTSB): A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to...
EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.
Object detection, tracking, and 6DoF Pose Estimation in web browser - Integrated Training Environment to train your own neural network models
Awesome Deep Multi-View Clustering is a collection of SOTA, novel deep multi-view clustering methods (papers and codes).
YuE: Open Full-song Music Generation Foundation Model, something similar to Suno.ai but open
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YuE: Open Full-song Music Generation Foundation Model, something similar to Suno.ai but open
[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
