Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
Chinese-language hands-on programming tutorial series on large language models, covering fine-tuning, prompting, editing, watermarking, jailbreaks, and agents.
A free Chinese-language 100-day Python course, from basics to advanced topics, with lessons and code examples.
A free 9-week course teaching data engineering by building an end-to-end data pipeline using tools like Docker, Terraform, Kafka, Spark, and dbt.
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
📚 《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
A Chinese-language book by Li Xiaolai teaching self-learning skills through a Python programming curriculum, delivered as Jupyter notebooks.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Python toolkit for speaker diarization built on PyTorch, with pretrained pipelines and models that can be fine-tuned on your own data.
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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 🚀.
Python training for business analysts and traders
A curated list of amazingly awesome repository created and contributed by Indonesian people.
This is the corresponding code for the O'Reilly book: Harness Engineering
Technical companion to the O'Reilly Harness Engineering for AI Agents workshop
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
SwiftUI, Jetpack Compose, Compose for Desktop and Compose for Web based Kotlin Multiplatform project (using CityBikes API http://api.citybik.es/v2/). Uses Room for local persistence
Easy pipelines for pandas DataFrames.
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DLI Fundamentals of Deep Learning, Chinese Version
Ноутбук для Гугл коллаба, в котором вы сможете к абсолютно любому медиа добавить субтитры и автоматически их первести на любой язык
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
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.
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.