Alex Bishop's Projects
10 Weeks, 20 Lessons, Data Science for All!
:duck: DuckDuckGo from the terminal
Fully customizable AI chatbot component for your website
API Documentation Browser
An opensource ChatBot built with ExpertPrompting which achieves 96% of ChatGPT's capability.
A script that will generate a fine-tuning file for openai's fine-tuning feature
fabric is an open-source framework for augmenting humans using AI.
A listing of Free GPT actions available for public use
Large-scale pretrained models for goal-directed dialog
Grok open release
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
🦜🔗 Build context-aware reasoning applications
Render markdown on the CLI, with pizzazz! 💅🏻
Teaching LLMs memory management for unbounded context 📚🦙
Merlin SDK Provides A Unified API To Interact With 20+ LLM Models.
programs made in Python for my MITx6.00.1 course
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Unofficial Python API client for Notion.so
Ollama Python library
ChatGPT-Style WebUI for Ollama (Formerly Ollama WebUI)
Build a chat application using Azure OpenAI GPT models.
Examples and guides for using the OpenAI API
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
Instant voice cloning by MyShell.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks