Tacotron 2 - PyTorch implementation with faster-than-realtime inference
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The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
- efficientdet
- efficientnet
- pytorch
- object-detection
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
Repo for the Deep Reinforcement Learning Nanodegree program
- deep-reinforcement-learning
- reinforcement-learning
- reinforcement-learning-algorithms
- neural-networks
A computer science textbook
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
- human-pose-estimation
- realtime
- caffe
- human-behavior-understanding
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Translated🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. Academic homepage, AI-generated, Markdown-owned 👇
- hugo
- website-generation
- academic
- netlify
The "Python Machine Learning (3rd edition)" book code repository
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
unet for image segmentation
- unet
- keras
- segmentation
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
The 3rd edition of course.fast.ai
- data-science
- fastai
- deep-learning
- pytorch
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.
- machine-learning
- economics
- causal-inference
- causality
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
- bayesian-methods
- deep-learning
- machine-learning
- data-science
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
- data-science
- machine-learning
- deep-learning
- data-portfolio
TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions
- kaggle
- data-competition
- data-science
- deep-learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
- reinforcement-learning
- machine-learning
- artificial-intelligence
- deep-reinforcement-learning
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
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
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