JalenYes's Stars
practical-tutorials/project-based-learning
Curated list of project-based tutorials
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
deepseek-ai/DeepSeek-R1
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
meta-llama/llama
Inference code for Llama models
xai-org/grok-1
Grok open release
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
huggingface/open-r1
Fully open reproduction of DeepSeek-R1
openai/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
chroma-core/chroma
the AI-native open-source embedding database
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
transitive-bullshit/agentic
AI agent stdlib that works with any LLM and TypeScript AI SDK.
liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.
lucidrains/x-transformers
A concise but complete full-attention transformer with a set of promising experimental features from various papers
py-why/EconML
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.
Doragd/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
mitmath/1806
18.06 course at MIT
Pyomo/pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
zhongqiangwu960812/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
tidyverse/tidyverse
Easily install and load packages from the tidyverse
DeepGraphLearning/RecommenderSystems
predibase/llm_distillation_playbook
Best practices for distilling large language models.
the-full-stack/fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
anthropics/anthropic-tools
JalenYes/Kaggle-Competition-Two-Sigma-Stock-Movement
JalenYes/Kaggle-Competition-Quora-Insincere-Questions-Classification
This project, detecting toxic content to improve online conversations, is my Kaggle competition. I got a bronze medal in the top 6% from 4037 teams.