GrEarl / microgpt-lesson
高校生向けLLM教材: Karpathy microgptベース，Google Colab用
GrEarl / microgpt-lesson
walkinglabs / hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
charliedream1 / ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
microsoft / edgeai-for-beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
Exorust / TorchLeet
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
Denys88 / rl_games
RL implementations
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
borglab / gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
rolling-panda-san / notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
simpler-env / SimplerEnv
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
facebookresearch / Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
charliedream1 / ai_wiki
《AI全栈-全网优秀资源搜集站》：搜集全网优秀资源，记载工程实践问题的解决策略与关键要点，分享各种实用案例，追踪前沿技术发展，囊括 AI 全栈知识，涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域
ZhanbotaErlan / US-Kazakhstan-Stock-Analysis
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
unslothai / notebooks
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
abhisheks008 / DL-Simplified
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
superlinked / VectorHub
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
earlyaidopters / gumroad-resources
Auto-synced mirror of every free Early AI-dopters Gumroad resource. Newest first.
jpmorganchase / python-training
Python training for business analysts and traders
yandexdataschool / Practical_RL
A course in reinforcement learning in the wild
microsoft / TextWorld
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
cfgranda / ps4ds
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
joreilly / FantasyPremierLeague
Fantasy Premier League Kotlin/Compose Multiplatform sample
wenqi9115-glitch / systematic-etf-relative-strength-alpha-attribution
Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.
carlosandreasa / meeting-minutes-generator
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GaTech-RL2 / EgoWAM
[CoRL 2026] EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
RajatDandekar / build-a-world-model-from-scratch
Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
yuxiangh383 / rl-interval-estimation
Multi-agent reinforcement learning in a macroeconomic environment, with V-learning and bootstrap confidence intervals for government policy parameters.
datawhalechina / easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/