ABHISHEK SRIVASTAVA's repositories

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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LLM-Finetuning

LLM Finetuning with peft

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multi-agent-postgres-data-analytics

The way we interact with our data is changing.

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awesome-ai-agents

A list of AI autonomous agents

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awesome-openai-vision-api-experiments

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

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autodistill-gpt-4v

GPT-4V(ision) module for use with Autodistill.

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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concrete-ml

Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

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Python-1

My Python Examples

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txtai

💡 Build AI-powered semantic search applications

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streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

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Python

All Algorithms implemented in Python

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haystack

:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.

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TTS

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

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interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

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live-resume

Stand out of the crowd by showing a professional website/resume. Building fast and easy the best Personal Web Application resume!

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InvoiceNet

Deep neural network to extract intelligent information from invoice documents.

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nboost

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

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cluster-data

Borg cluster traces from Google

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