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📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Remove Seedance 2.0 watermark (AI生成) from videos automatically. No GPU required. Free open-source tool.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Build your neural network easy and fast, 莫烦Python中文教学
Models, data loaders and abstractions for language processing, powered by PyTorch
Text classification based on LSTM on R8 dataset for pytorch implementation
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
A library for composing end-to-end tunable machine learning pipelines.
The machine learning toolkit for time series analysis in Python
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Automatically exported from code.google.com/p/word2vec
Must-read papers on network representation learning (NRL) / network embedding (NE)
Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
Tool for visualizing GitHub profiles
A scikit-learn compatible neural network library that wraps PyTorch
📄 A PyTorch implementation of Paragraph Vectors (doc2vec).
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Sequence-to-sequence model with LSTM encoder/decoders and attention
Sequence-to-Sequence learning using PyTorch