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Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
Implementation of the StableLM/Pythia/INCITE language models based on nanoGPT. Supports flash attention, LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Inference code for LLaMA models
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
The official GitHub page for the survey paper "A Survey of Large Language Models".
Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
This repo contains Machine Learning Model Interpretation techniques
MAGIC adaption for SIMMC
Mastering Python for Finance – Second Edition, published by Packt
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
The MATH Dataset (NeurIPS 2021)
Mean-Variance Portfolio Optimisation using US stocks and cryptocurrencies
Memory Networks implementations
Merlion: A Machine Learning Framework for Time Series Intelligence
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
Machine learning metrics for distributed, scalable PyTorch applications.
An updated version of miniF2F with lots of fixes and informal statements / solutions.
This repository contains everything you need to become proficient in ML/AI Research and Research Papers
📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
📺 Discover the latest machine learning / AI courses on YouTube.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Companion webpage to the book "Mathematics For Machine Learning"
A modular active learning framework for Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.