jaelim

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

pykan

Kolmogorov Arnold Networks

A-DSPy-based-RAG-with-LlamaIndex

recipes

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

qa_metrics

An easy python package to run quick basic QA evaluations. This package includes standardized QA evaluation metrics and semantic evaluation metrics: Black-box and Open-Source large language model prompting and evaluation, exact match, F1 Score, PEDANT semantic match, transformer match. Our package also supports prompting OPENAI and Anthropic API.

extend

Entity Disambiguation as text extraction (ACL 2022)

demo-lp-for-entity-resolution

Demo of a supervised machine learning approach for Entity Resolution in graph using Neo4j GDS Link Prediction Pipelines

knowledge_graph

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

haystack

: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.

CRAG

Corrective Retrieval Augmented Generation

RAGatouille

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

raptor

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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.

prototransformer-public

PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).

The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

oreilly-gpt-hands-on-nlg

This repository contains code for the O'Reilly Live Online Training for NLG & GPT

ai-reference-models

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

cs224u

Code for Stanford CS224u

llama

Inference code for LLaMA models

KataGo

GTP engine and self-play learning in Go

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

Advanced-Machine-Learning

Machine Learning: From Theory to Practise

alphatensor

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode

Leetcode solutions

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

gluonts

Probabilistic time series modeling in Python

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend