Trending repositories for language Jupyter Notebook
llama3 implementation one matrix multiplication at a time
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
A collection of guides and examples for the Gemini API.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) availab...
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynam...
Supporting PyTorch models with the Google AI Edge TFLite runtime.
High fidelity, lightweight, end-to-end, streaming, convolution-based neural audio codec
This repo is for linkedin learning course: Python Essential Training (UPDATE FY24 Q4)
a highly efficient compression algorithm for the n1 implant (neuralink's compression challenge)
llama3 implementation one matrix multiplication at a time
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) availab...
A collection of guides and examples for the Gemini API.
This repository contains demos I made with the Transformers library by HuggingFace.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynam...
ProtMamba: a homology-aware but alignment-free protein state space model
a highly efficient compression algorithm for the n1 implant (neuralink's compression challenge)
Presidential bot built on top of Llama3-8B fine-tune over +100 hours of video interviews
Code for MagicPose4D: Crafting Articulated Models with Appearance and Motion Control
Scalable neural net training via automatic normalization in the modular norm.
Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) availab...
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable...
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
Supporting PyTorch models with the Google AI Edge TFLite runtime.
Dataset Crafting and Efficient Fine-Tuning Using Only Free Open-Source Tools
my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
Official Repo for Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
llama3 implementation one matrix multiplication at a time
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
A collection of guides and examples for the Gemini API.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
Simplified and tested examples of CrewAI implementations
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
collection of text2cypher datasets, evaluations, and finetuning instructions
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)
llama3 implementation one matrix multiplication at a time
Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the availab...
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Foundational Models for State-of-the-Art Speech and Text Translation
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a...
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Foundational Models for State-of-the-Art Speech and Text Translation
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a...
llama3 implementation one matrix multiplication at a time
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A comprehensive guide to building RAG-based LLM applications for production.
Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"
In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.