All course materials for the Zero to Mastery Machine Learning and Data Science course.
📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南
Repo to accompany my mastering LLM engineering course
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Learn ML engineering for free in 4 months! Register here 👇🏼
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Autumn-Recruit Algo Notes(秋招算法学习仓库),面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构,到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学,通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。
The fastai book, published as Jupyter Notebooks
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
Collection of notebooks about quantitative finance, with interactive python code.
The fastest way to create an HTML app
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
TimeGPT-2.1: 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 🚀.
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
The fastai deep learning library
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Create delightful software with Jupyter Notebooks
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Python supercharged for the fastai library
Simple and flexible progress bar for Jupyter Notebook and console
Fantasy Premier League Kotlin/Compose Multiplatform sample
Dynamics 365 FastTrack Implementation guides
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
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PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and deep learning techniques. The platform integrates real-time air quality data.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.