🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
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35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
- agentic-ai
- ai-agents
- langchain
- langgraph
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
- dsp
- python
- signal-processing
- textbook
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Data augmentation for NLP
- nlp
- augmentation
- machine-learning
- artificial-intelligence
TranslatedChinese translation notes for Python for Data Analysis, 2nd Edition (2017)
- python-for-data-analysis
- jupyter-notebook
- chinese-translation
- data-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A 15TB Collection of Physics Simulation Datasets
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
- tensorflow
- pytorch
- keras
- gobang
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
- artificial-intelligence
- generative-ai
- kubernetes
- kustomize
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
- imitation-learning
- robotics
TranslatedNeeding only a Python foundation, build large language models from scratch; build GLM4\Llama3\RWKV6 step by step from scratch, to gain a deep understanding of how large models work
PyTorch implementation of AnimeGANv2
- image2image
- style-transfer
- gan
Probabilistic reasoning and statistical analysis in TensorFlow
- tensorflow
- bayesian-methods
- deep-learning
- machine-learning
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
- automl
- hyperparam
- automated-machine-learning
- machine-learning
Plain python implementations of basic machine learning algorithms
- machine-learning
- logistic-regression
- ipynb
- machine-learning-algorithms
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- machine-learning
- predictive-modeling
- islr
- statistical-learning
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
- agentic-ai
- langmem
- mcp
- openai-api
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention
The repository host gives no description.
OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340
- diffusion
- image
- image-generation
- multi-modal
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding