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SQL databases in Python, designed for simplicity, compatibility, and robustness.
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
Get summary/Ask Questions to youtube video! In Development 🚀
Get up and running with Llama 3, Mistral, Gemma 2, and other large language models.
DSPy: The framework for programming—not prompting—foundation models
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
FastAPI Best Practices and Conventions we used at our startup
A high level interface and object model for the Notion SDK.
🦜🔗 Build context-aware reasoning applications
vCard is a fully responsive personal portfolio website, responsive for all devices.
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
ML and DL related contests, competitions and conference challenges.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A small package to create visualizations of PyTorch execution graphs
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.